{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "513c5a36",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from auto_detection import find_ions, fit_gaussian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "68e4717e-e54d-46e4-81d8-eeeb9b81a4ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "from skimage import draw\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "83d1f5b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "binaryzation threshold =  50.11904761904762\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[130.4703731104134, 221.08362396273853, 124.61397127668627, 218.0470685323408, 154.43061570796024, 125.67619842599156, 173.87205264604424]\n"
     ]
    }
   ],
   "source": [
    "a_rgb = cv2.imread(\"example1.png\")  \n",
    "a_gray = cv2.imread(\"example1.png\",0)\n",
    "\n",
    "#这两行是搜索和拟合\n",
    "circles = find_ions(a_gray) # 找离子\n",
    "amp_list = fit_gaussian(a_gray, circles) #高斯拟合\n",
    "\n",
    "circles = np.uint16(np.around(circles))\n",
    "for circle in circles:\n",
    "    rr,cc =draw.circle_perimeter(circle[0],circle[1],circle[2])\n",
    "    draw.set_color(a_rgb, (rr,cc), (255,0,0))\n",
    "\n",
    "plt.imshow(a_rgb)\n",
    "plt.show()\n",
    "print(amp_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b95030dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "binaryzation threshold =  127.51190476190476\n"
     ]
    },
    {
     "ename": "RuntimeError",
     "evalue": "Optimal parameters not found: Number of calls to function has reached maxfev = 5000.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "Input \u001b[1;32mIn [4]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[38;5;66;03m#这两行是搜索和拟合\u001b[39;00m\n\u001b[0;32m      5\u001b[0m circles \u001b[38;5;241m=\u001b[39m find_ions(a_gray) \u001b[38;5;66;03m# 找离子\u001b[39;00m\n\u001b[1;32m----> 6\u001b[0m amp_list \u001b[38;5;241m=\u001b[39m \u001b[43mfit_gaussian\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma_gray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcircles\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m#高斯拟合\u001b[39;00m\n\u001b[0;32m      8\u001b[0m circles \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39muint16(np\u001b[38;5;241m.\u001b[39maround(circles))\n\u001b[0;32m      9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m circle \u001b[38;5;129;01min\u001b[39;00m circles:\n",
      "File \u001b[1;32m~\\Documents\\the quantum computer\\TODO\\IonTrap\\gitee_klab_control\\cion_master\\cion\\emccd\\auto_detection.py:127\u001b[0m, in \u001b[0;36mfit_gaussian\u001b[1;34m(data, circles)\u001b[0m\n\u001b[0;32m    125\u001b[0m amp0 \u001b[38;5;241m=\u001b[39m data[\u001b[38;5;28mround\u001b[39m(x), \u001b[38;5;28mround\u001b[39m(y)]\n\u001b[0;32m    126\u001b[0m p0 \u001b[38;5;241m=\u001b[39m (amp0,x,y,\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m--> 127\u001b[0m popt, pcov \u001b[38;5;241m=\u001b[39m \u001b[43mcurve_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgaussian\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mz\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmaxfev\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5000\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m    128\u001b[0m \u001b[38;5;66;03m#print(popt)\u001b[39;00m\n\u001b[0;32m    129\u001b[0m \u001b[38;5;66;03m# amp == popt[0]\u001b[39;00m\n\u001b[0;32m    130\u001b[0m amp_list\u001b[38;5;241m.\u001b[39mappend(popt[\u001b[38;5;241m0\u001b[39m])\n",
      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\scipy\\optimize\\_minpack_py.py:794\u001b[0m, in \u001b[0;36mcurve_fit\u001b[1;34m(f, xdata, ydata, p0, sigma, absolute_sigma, check_finite, bounds, method, jac, **kwargs)\u001b[0m\n\u001b[0;32m    792\u001b[0m     cost \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(infodict[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfvec\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m)\n\u001b[0;32m    793\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ier \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m4\u001b[39m]:\n\u001b[1;32m--> 794\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOptimal parameters not found: \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m errmsg)\n\u001b[0;32m    795\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    796\u001b[0m     \u001b[38;5;66;03m# Rename maxfev (leastsq) to max_nfev (least_squares), if specified.\u001b[39;00m\n\u001b[0;32m    797\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_nfev\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n",
      "\u001b[1;31mRuntimeError\u001b[0m: Optimal parameters not found: Number of calls to function has reached maxfev = 5000."
     ]
    }
   ],
   "source": [
    "a_rgb = cv2.imread(\"example2.png\")  \n",
    "a_gray = cv2.imread(\"example2.png\",0)\n",
    "\n",
    "#这两行是搜索和拟合\n",
    "circles = find_ions(a_gray) # 找离子\n",
    "amp_list = fit_gaussian(a_gray, circles) #高斯拟合\n",
    "\n",
    "circles = np.uint16(np.around(circles))\n",
    "for circle in circles:\n",
    "    rr,cc =draw.circle_perimeter(circle[0],circle[1],circle[2])\n",
    "    draw.set_color(a_rgb, (rr,cc), (255,0,0))\n",
    "\n",
    "plt.imshow(a_rgb)\n",
    "plt.show()\n",
    "print(amp_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fa679be3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "binaryzation threshold =  150.03571428571428\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ry+XSukaTyUTT6dSCw7vvvqvRaGTYSSQS0eHhoabTqXVz6KiRqUYiEY3HYwPv4/G4UqmUjo+PFY/HtVgs9HM/93Pf8l58KzCLb3b5vq9MJqNut2s4QjabtYyBEziVSqnf79vJkE6nNZvNVCgU5Hme+v2+1aqg6JQeyWRSk8nETo5kMqlOp2OBZzgcWl3Jwyf9BLSaTCbWhv3444+VyWRsU0u7wAc4tVqtlEwmNR6PraaPRqMG0o7HYy2XS1WrVW23W1vQgJalUknxeFy1Wk2r1Urdbtdat4B1i8VCs9lMkUhExWJRjUZDhUJB0WjUPufe3p6d9rlcTslkUre3t1Yjs4kJYARgPo8ktdttq/uz2ay1E6+vr5XP563TtL+/b/eSLgRlH90Y/j+ZTCoYDKpUKmkymdxrlQ+HQx0eHlrgoWsD4LparVSv1+X7viqViubzuZVEBEA3owqHwxoOh5rNZqpWqwqHw3r8+LG63a5llGR4hUJBzWbTTnAyNdrPlUrFwFTP8+51LTiAYrGYBbzz83M9efLEulxgVnzfcrm0oEvpSjDm4KILdH5+brjHQ19vTbBIJBJKp9Mql8v2tUgkos1mo06no3Q6LUmWBs5mMy0WCw2HQ8sgcrmc1Yy+7xuQJknT6VTX19daLpeWMXCS0TZ89OiRWq2Wbm5u7PQsFovW/bi6urLUcTab2cnGyczJFggEVK/XFQ6HbSOGw2Gdn5/r4ODAyqm9vT1tNhtdX1/L9309efJEnU7HFsLe3p5ubm50fX2tSCRif9brtW5vb+V5ntXinIC5XM74BLFYTP1+X/1+39q9bDS4B77vG9+EFmI+n1c0GlWj0bB7zAZhkQ8GA93e3lp5tVwu7aQGKE4mk1bLT6dTjcdjC4Yg/AQ6gEs4MgRsAkwwGNRgMFAul9PFxYV1LeiGRSIR9ft9xWIx3d7earVaGWi62WzU6/WUz+c1GAysU0RpIMkwgFwuZ+83FosZLlIoFKy0ouQj+FMiUE5QBsfjcUWjUS2XSzUaDWvjky0sl0v1ej1VKhXF43FrzXMw0maOxWIGkIKBPTQhS3qLgkWv11O321WtVrMFSmcAkI+uA6cS4CSbLhQKqdPpGG+BupHWGK1VaceBKJVKluaHQiGNRiOFQiHrzYM5APDRzg0Gg4rH44pEIrYgm82mtcri8bgGg4Gy2aylzoCs1KRkKLTQOp2OvQZt3qurK9VqNWt7JpNJnZ6eWs0t7dqIXCxgANZEImGpbq1WM5CNdBuOSi6XMwCt3W7bgi4UCnYqj0YjFQoFa1nyeSKRiHq9nmUoAJmDwcCys0wmo3K5rG63q9lspl6vZ7yLSCSi29tby5ZisZhGo5G63a6l8ZQdm81Gg8HA3gf1+2QyUafTsRYxHAQ6GcvlUgcHBwZQutyYQqFwL1DR3j0+PrZs8fXr16pWq7q9vbWAud1u1ev1jAiYTCbVbDbtddPptGXJkmwtAKqWSiXL5CjXisWims2mUqmUAb6sWTAjAFqC/UNeb02woBsCO440HlZhJpOx+haUHELN7e2tvQ7dCs/zjKsgyTYm0ToUCtkpmc/n7URjY6xWK7377rt6//33LTPgBN1sNspms9aaBBfhVA2FQragIfeQatIloYSAZTgej41Yxqmyv78vSYbSz2YzpdNplUqleyfnZDKxoESXgk3M54tGo4a1UDfTSu31epYBESDprNCWTCQS90hnPAuyPtqwnU7HNmy5XNZgMLBnAOErlUopm80aL4SAMZ/PDVegZcw93W63KpfLFmxbrZaVHGApcFo4eXnG0WjUsj7apmQtw+FQqVRKo9HIug3uc4YXwuEAwLtYLAyzWq/XhoXVajUrQSjbKFkIUmRNyWTSSsHNZqNYLKZyuWwlIu8HFmy/39d77713j3PykNdbEyyGw6HhFBBoWLi5XM6CAFTmbrer7XZrG2+73Rre0Gw2lc1m71GHSa+bzaZt8kqloul0apEeElMwGNRkMtHXv/51w0Om06lhKslk0jAMUn+AQRYt7VvAqHw+b6cRGwrUezweG7aw2WyUSqUMlCVDuri40HA4vLfQxuOxpbrb7dYYmNS7LOxCoaDxeGztTb5+fX2tZDJp9xqEnU6T7/sqFAp68eLFvfSX4Ah2A6Wdz8Tmd2txAlEwGLSuymw2UzQavZcxhkIh+1xQ7XkNAiKlJyXfycmJvR60c1qrPHtIXwQP2qGUbXw+t3xwcZZms2lZG/drOBwqn8+r3+9bUI1Go6rX60omk0okEup0OkYYg+C3XC6tFIpGo7Z++v2+vafb21tbX/F43EpI+BeUPA95vRXBgtSd1hcgERjGq1ev7EQIh8NWd0+nUzvJ6bVPJhN7aMvlUs1mU8+ePTNwqVQqGbGp2WxqPp9by4qTejqd2kPi5Ibae3BwoNFoZHhHIpHQYDBQJpNROp3W9fW1bfhut2vvebVaWS19cHBgIB6ZACfteDy2gOeWR7AOe72egbx8RhiSlUrFWonwPW5vbzWZTDQej1WpVIyNCQbEfUf7gDaBjAcGJZkMmRTU5n6/r9VqpUqlYhgEZCTf99VoNIwzASZye3urfD5vJQdBqF6vWzlEqYNeAyCQ9wDDksyCQBePxw0z6ff7CgaD2tvbM9LVdrs1Kj04C8/c8zxrZ8diMfvctHxhzhKYAFKr1ao6nY5SqZSur6/vAbm0uMvlsmUQHB65XM5a3GQRaEmKxaJ1dS4uLlQoFCyDIvA++D58G1qn3/u936tCoaCf+ZmfUT6ft1Q1EAio1WpZ3TqdTu+Bf4iyaJnW63UTK5HeshBJ4+A8QOyhLl8ul7Y4EHgBomYyGU0mE6Oep9NpKwtoQ/KwT09PDbtgUbBgSB+hVdPmA7A8PDy0/j1UZ0olWK2cmmQHBB8CClwM7hXlWLVatTZxt9s1URIpbjQa1dnZmRKJhLUh4bHQypRkmQAnPeUJn2kwGCgWiykYDNripkQhU6AsQfMgye4NtT6BpVgsmngQEFOSBaNYLKZGo2HdJt/3dXt7a5RqWtFICAKBgG5ubuyAAqeB2Vkul61NCzYhyQiAbgClrEB6kM1mbU0DKtdqtXvdMchX+/v7luGm02k1Gg37feAYhULBMiHWWSKR0OHhoYbDoX7hF37hW96Lb33r9KOPPtJXvvIV5fN5O3lisZid9jA4A4GA4vG4tQLhG4TDYTUaDXto1Oike6vVSnt7eyoUClZDEuk5hVE2zudz4wUAsKVSKVtEZDGg1Og/rq6uVCqVVK1WNRwODTTs9/uGeRCgarWanWQg3aTFkHH4bKDg6Do4ZbfbrbWE3ezq9vb2Hl8DKncul1On09FsNtPBwYGxGfv9vn0vtPZ0Oq3JZKJWq2WBG/Qe4JRFTQq/Wq2sjQsgTVeA76Glynt17zUEKDInTk6yzWAwaKe5WwaizwkGg3r27Jk++OADyxAkWWaAJuj29tYYtclkUoPBQMlkUqPRSJFIxPAqadd5A0hHz0JL+uXLl8rn8xYgYMAOBgMDjQGayXbS6bQqlYoFhkgkopubG+3v79v38T4pn29vb23dUgoPBgNtNpsH34dvRbCQdkQYCDipVMo2DNEcoKnf799jxqErgNFHKsxmor4HmFssFioUCur3+0bjvr29NWEWi5JTirYdAFav17M+PYAkFHF4AsfHx2o2mxb0SKnhXZDKE5zcOjsUClmLDS0JwjBS0VAopEePHlmXZjgcGovSxU1Y9J7nqdlsGi5CqzgajapardrnWCwWur29Vb1eVzqdtuwOQJSgQJAgmNLuhU8B45UMplQq2WJ3aePue4SnQGC6vLw0jgbP0lUYo8tBDBiJRPTBBx/Y68B3oTPyycMF7EPaBVRwDzIS1gvgMXR/1gM4GgS41WqlRqNhkngAbER2lUpFV1dXRtW/vb1VuVw2UV8mkzFg/uDgQJ1OR9IOcO/3+8Z7Wa/Xevr0qZrN5oPvwbdmFEAikVCpVDJ2ZTQavSfK2mw2Ojs7M9YgQWK5XFpKfHBwYA8bHgAbg8UDODqdTu8pKknp6RJAX6bG5cR+8uSJKVAhRpH6jsdj22zUvKS/lUrFuArn5+f2dRYiaW4wGNR8PtezZ8+shKIUkmSqx9PTU43HY52dnRnwxoYEXMvlcua1QFo9mUxM6dntdjUajQwElKROp6O9vT3Tu5BN0LKTZC1GAGGyNV7r5OTEyGTVatUyAQRRsBQHg4HhEmwyV7/z6NEjC6g8C8pD2teAz51Ox9iQaHd4nicnJ0Z4olQDl6Jkub6+VrvdNjCW597tdo1NK8lIZCcnJ5JkIjVo4zBeKcsAlMmYYHKORiNjeZKpDQYDtVqtex4XHEDYMtDh+UOdWaxWK43HY7sptJ9csguLdz6f24nL33u9ngqFwr0sA7QZIM1VZEIlPz8/NwYipyipLUAoxKIXL17o4ODAHqKbKo/HY+u+uApCNBjNZlPFYlGpVOqeBqDX62l/f9+YpZyerVZLpVLJRFSkxHRq4G5Q47tktHa7rXa7rUKhoEQioV6vZ7/PZW+CukMq4nso5/iMeFigVUArwfPi+bE5kGnv7+9rsVjY64OBhMNhdbvdeyI9TnJOUBir8CkoJ8LhsEkBCPAEUrI0vsa/E/AAdSmXXCsC8ADubSqVMhCWQ4nMyPd9vXjxwnAWaNm8Droi1lA0GtXNzY0FmmQyqUwmY+8VIBvwHbo5gZQylvs7m82sdHzI660JFhBbiKjUnIipoEizCYjEcDDAJyQZsMmir9fr1hJDZ0ANCbbAooBiSzsPFB8EH3CzWq3aiffs2TN1Oh0jekE+qlQqliFBZ06lUubTQdnQarVMWCTJTtfz83MDt1gc8A2SyaQuLy+t3063Bk0MHA1J1iHi6vf7FogRlqGBoQ0djUZNhUrwlnYtbko2kHtOXvQNZHqdTsdKAsBayh0wH8oauiAEKchRsFMhKFFKEJBd5S4lg8tfAAuKxWKW2heLRRUKBePnoFR1lZ/gLfwsHQgYqzBF3cypUqnYuiS7ffz4sT3bzWaj0WhkBjuA7mhCotGogewAq7CEpd2hdHx8fM+p7CGvt6YMIROAX8/JD9uRk2t/f9+6F9T00k4dChtzMplYOk+mkkgkLJJTY7O4eR0YdpVKRel02iTRi8VC2WzWMoRer2eEJ056ToDZbGbkKVLXWCxmAjeUmtThLDYky2AVrtyZMgi7ODAIwFFIP3AsXK0KEn7qZEmqVComdQenoGSi2wQIR3eGQI2QjxIEnkkikVA+n7dNxQYkzYY5y4ZEzQpA6HpPJBIJe/ZgO9lsVsViUdls1jojBBSeEeIysg+sFskwYL5C0KI8i0aj1n4l+BLEyuWylYtgWy9evJAkPX361Eq/o6Mju+e1Ws3KwFarZWsCxjFA92q10qNHj0xl2+121e/3DQeh/KaLs7e3p1arZQfYQ19vRbBAVXlxcWFqQdp/kUhEjx49spMfURZgEEGD8oEFjFR4Pp/r7OzMHuT19bW1sdgM8/lc19fX1hno9/vG518sFpalkCqzUThlO52OLi4uTLcBr6Lf79v7ODs7sxOBhQNHAKk5QW44HFoKiq2dJDuRObmkN9oOtzQDjNxsNtbmpAVLMOK0cv0om82mSabpTGy3O4/J169f39PlSDJAcjQaaTab6ebmxj5bp9OxjIF2NCSnYrFoBkZkJZRmrVbLngsYg7vBAVZhprqiK7Qw8/lcl5eXmk6nRjvv9XrG0qXDQ8kkyQ6WUCikWCyms7MzTSYTA5TBlBKJhAn7RqPRPUczWubcQ7I0Mig6W9gRtlot82mhvU2Zh9ER3Q8OhvF4bNjWQ19vRRny/PlzpVIpu4Es1m63q0qlomazqUwmY9x+SDXQlSGvSDKGJ6SkwWCgr371qzo/P9d4PDYuA5uRtB7MQJJtahbwdru1uhRWIKcZiwgVZKlUuqcPIXvhZGTxQqcGDNvf3zduxcHBgZF6qNNhqlI+UGJxwsJnIMOAlwHTc7VaWcnhtgY5XfnaJw15ScNpU2LfR3sP8hzvCdwlEoncA4JpfwaDQetokYHBGUERy/f2ej3zGKV0IwsoFArqdDoWkKU3Whc8TsFE0FHEYjG7py4+NB6PzT4P2j3vhQOh3W5bMKENz7MMh8PW2ifwAp67hkNkSWz858+f23uHfHd7e6uDgwN7nuAkYCmFQkGvX7/+TJyy3orM4qOPPrITPJ1OK5PJqFqtKpfLGQsSRl632zU/COps0kRqQtp51LAXFxfWux+Px7q+vjabPOpeTHIAkDjlORUgdLGxSHM5dRCr0XpFAk+dCx+CIBOPx83mj5MJ/gGdHMhoBBZwFIIKgCEgMGIqSVYTwwOhjKKtB2GJlJ73CxYgyUhLlUrFvgceQi6XM+GX9Ea1SbqP6pTOEvcPXY2rgYEtipUez5uSgPuFmzqlKf9PeQa2QTmFM1c6nTbXMchwlDtI7nFY4/DY29szjorbXaJLtNlsrKQgiPd6PQN88bvg/Umy9Ya/iNs+hyLP33lt7gMmSJQkfyCYhed5/5HneS3P837L+Vre87yf8Tzv47v/5u6+7nme97e83UDkb3ie90cf6o1SF3NKo+hDdUmLqlar6cmTJ8rlcsbH4MRjUwDmgbRLMr0Bae9mszG0W9ql84PBwNyZSBsBQWu1mgF78Xhc7Xbb8A3k5SDcrqsXSDp+CCxOAgDlEOUTJVaxWDQNg0uFJzBANENbwqaDeMT38Nn29vaUzWb1+PFjy0Sazaal5lCywQDQQ0CpByjEPAcKNDwY3LXhhABOAkgWCgXTybjlAGIr7gF8lGw2q+PjY5XLZVUqFetIAUC7npr7+/v2XI6Oju55YgDe7u/vm4kRIDWftdPp6NWrV/bzHFyQ7yivyLgg7Pm+f6+jRDcDHg1CNGkHoh4eHhqPhPKDQDOZTFQul+1wAvAkg8MWEsHlZ3F9msziP5b045/42l+T9LO+7z+X9LN3f5ekf1XS87s/PynpP3yYt6l75BxO+m63a/V5r9fT2dmZrq6uDORpNBo6OTmxn2WBhsNh1Wo1czeCR4CZDBnHzc2NlReoPDkB0VmAY5AqI9CCw4GgbbvdqtVqGRHLtUtjs7neEWgdyuWybUBJli11Oh07KfE3YMEQMMAZAGbBZTCRBXjt9Xo6Pz/XaDQy/cXt7a1OTk7slAMLIkODzcm9c8s0GKUff/yx6vW63aPJZGKZGd9HSSHJOiG0BgE7Q6GQstmsBXM4NZeXlzo9PTW8hbYzn8117EK5Ox6PDdAkAOMCRuZGxob4a7vd6uTkRMFgUPV63TAzspdAIGBZYLPZVKfTUavVUqfTMTyhUCiYVwqfHYIdn58yw1WjbrdbK0WCwaCOjo6MZwR5jIOBwxFW8kNf3zRY+L7//5HU+8SX/5ykv3P3/39H0k84X/+7/u76mqSs53m1h3ijEHnm87m1tajnaRmhzgOnePfdd63uBKiiVka0xYmcy+XM41OSkbKy2awpDmezmRqNhnUO4FFA5trb29Pl5aUFJdJYz/NMSETpRPSnvkWkNpvN9PLlS/PJoJtxdXWlTqdjpdLx8bEFNBaL7/sWKH3fN+s+solEImFZjXfnjxCLxexEhelJ5oRcn98LuQlcgIVMwCAQT6dT86aEG9Htdu2ZodvwPE/1et2CLGk5/BBYomAJkmwAExupVqtZeg6OQ2YCNwfHsUqlomKxqHa7bZ2QarVqbV0A70/aEqChAXCF/JXNZg0Xgi/h+oIkk0k9ffrUcBgCIZgZBwKbm3s/Ho/1/PlzjcdjI4KxZtERERDp5LFeLi4ujIvy0Nfvt7Cp+L5/c/f/DUmVu///3YYiH0i60Scu7xOzTr/ZdXl5qfPzcx0fH6vdblu9y43EaQjqNnX+69evFYvFDLyDqYiTFbZ4lBC+75uNO61OaOO4S7lCLhieEHZA8V1+A3jDcvlmsA2uR5eXl/ewGFJ10O4nT57Y6ZhOpw38G4/Hluq7Ji60Atfr3SAbiEW0LQeDgcrlstna0TGi5Qrz1a3j8/m8nboAjoVCwWZ98PnIvNLptIbDoYnrOPVcJ/a9vT2zxKMej0Qilkbj0M4AJUYswFKMRCL31gFZhEuew37R5Utg0tNqtayjBdkMnIdg6Spp8d7Al4TOGwcD9/zi4sLUxslkUu+//75R3ckY8CNdrVYqFAomL4jFYkqn00YGxPjZLRdhwsZiMZ2cnJiNgLtW4Ww89PVtoyC+7/ue533L0lX/W5x1GgqF9M477+ji4uJ3sBkxKHFl5JwEzLuQdE8EFI/HVa/X7ZTb29uzRdBut80NutPp2JSxwd2IOepmamL0Dtiy+b5v4wIoSQCyMEJBV1Aul9VoNHR0dGScCU6yzWZjuAG2cZlMxvQxrVbLMBVQdAJLsVi0epaTb71em38k3w+5jY4KhjaUFJRkkkxJud3u5mAwpAesZDAYaDgcGlGLgFmtVi0jw3UKT9T1eueaTsBDyIVrGEAynBJUxoFAQMVi0YhUkOg8z7PJbTiBEfhcCTk6IrpR/M5+v29dKcBU12OEjBS7/clkcu+50IUj8yETwEsEAiGHDlkH94sAS2ZGpkxGgi4plUrZdDVIYm6G8lmoyX+/3ZAm5cXdf1t3X/9UQ5G/1YsWUavVUiKR0LvvvmvpIw+ckwHuPxus0+lY9gGxiJOOlii9d5iIiUTCPCyfPHligFwikdDV1ZVpR8gWhsOh8RYICJeXlwZUsilrtZqBjZRKtPwuLy/10UcfKZFI3JvHCRktl8tZHS/pnsMzgio2I4uLlJoNAmuwWq2atT4YzGg0ulfzu/eMjczULNLz6+tr47CAJRwdHRmfI51O6/b21rI0/CPwGQV0BaBm0ZOtsfDhlWy3W33xi1+0DA+vCIBryGZ0pWB1Uo6BYyDq4ufICqDeA3qykZl3yrPabDZ6/fq1WShiYUgApgRElJjP53V9fW0ENzAKd4QhgsZMJmPBHIIf5TDrORKJmBkxPh/SDosqFosGRj/09fsNFv9I0l+6+/+/JOm/cr7+b951Rf64pKFTrvy+r+fPn5vICNEMU7NIkUejkc3qoNPAjAws7yH14HswHA7vTQuDREOHBKSfMiYUCunJkydWl6JLKJfLRviiW7HdbnVxcWFUY0hXjx8/vudTwGseHR3Z5pJkGgImZ0FdB5Cr1+vK5/PWagUUpLaPx+P2vgD3OBWbzaZxA/DTiMViZkTMJkWhy3uiS1Aulw1/gS8AjwKglW4LGxdF7OBu3glZFD/D5qrX6/Z9YCaAfePxWC9evDBWJWArgYqyitYmAREnKt6b9EaavtlsjJPgSu9LpdK9mTKUSJ1Ox9iTfA0LQTg1sGfRarBGaKm7DE2ySPQ+tIFRy5KBwUQulUqKRHajAtDkhEIhtdttA9NZfw99fVPzG8/z/r6kPympKKkp6X8n6f8p6T+TdCzpXNJf8H2/5+3yzv9Au+7JVNK/5fv+r36zN/Fp5oZ88YtftOhMCZBKpexh39zsYhJA52/+5m8aot3v9622ZaOw4IfDoRGaMG6hJ16pVIxReXJyotPTU61WKzPFcSXUgIzRaFSvXr3SarWyNhufgfrXtXSjLQhQt7e3Z9Ti+XxupQ81KV979913rVVHV4O2HHJ2SbYRAAWpa12JtCTrVtCOxVfDZbvy9cVicW8YEOxVWpaUE66GA9YheAIYDIAhhjLL5dJAO8BZuBhsPmjeME/5bARKfESRo6/XaxOTuQxXd8QjgZBuBJwcsjtamsPh0FqxaI3AbLw7eXyxWNRkMjHrREoSTnuwG54B7V7WEYEa8BgDJtYSTmGUspQmjx8/1nw+t8FO/+Sf/JNvtvV+x/Vtmd/4vv8X/yX/9KO/y/f6kn7qW3t7n+7iBpPyo+Pn1OUUe/nypUqlknx/N6oOrUI4vJtbcXp6am1IuAyk8N1uV8fHx3rx4oXN6aSu/vjjj+17AUs5EZC5wyRlODFKwqOjIzMxAYADuQewA3+o1+uWklP/slASiYRarZaePn2qwd1MlLOzM/MOxfYfNiYAH2UNf3DDwssTghepPJ2Ojz/+WOVy2QICWQa2hZxsdHFY5MFg8N7UL5diD34ALZy2LOYw3FvGC1ISgYng3Uk7mnsIxsOmJEtA7s79c/00ccqm3U3gmM1myuVyyufzFhAJpCcnJ7q6ujLlKe8FejjMTUxp6FSUSiXDPvC6YP3g5A3mgNIYajllFNgQAYTJZnBI3OnylIoPeb0VdG9Jhk7DyqMGhycQDodVLBbvlScoVFEUQl6BjMNkM0BFtBjYvAPQIVyjxZbJZKytBfKN2SqZAig/Eud0Oq33339flUrFQEh0FTx4Tu6DgwOTM8NqRF/x7Nkzq/cDgZ0Zre/vpmpdXV3Z5sUdjE0AKEh9TIp9fn5uZCFYq9Tl+H4irOMEZZOiwQBYBm/huXBaftKjgs+OdQDBnddfr9f2LCm/3AwY5iKfBcUunTAGF3Nfuae0YDlY6GLArYC5SzmIZQEkLGknoFutVnbgMJoBnQYjKyCJcfLTOq3Vatput4avBYNBnZ+fW5nL70V9zGR63iNqY1ilZKPz+dwMeCjbHvp6a4IFdVsg8MbqjZkOcBoWi4UtdjoQtPwODw8NpENcBBCIazOkKFSdqFBJ+ehtsyGlXcaDOS2gZywWU6/Xu2fmu1wu9ezZM6slYYziBB2Px3Vzc6OTkxM7ITKZjAmvUKJC2trb29N4PLZTCFs9cBQuMAn0EmRltAjBe3iP+G6i5KSul2TpNCk35CpOT/AUFjCbcm9vzzgMtBDpakBPZ1Oi+8GSAN1NKBSyZ8Dmgckp7YyS2+32PScrSpqDgwPd3NzYM4ERmUqlrGvm+74ODg4MhHUdtuGG4D6FFgUpPFR4hFwQyDjdAUAxiAbwdtXDAMtkRxgyg/2Q8T169MhMpKELoD/Bt9PN6h7yeiu0IdIuWPR6O24YQQMgDDEQC7lQKOi9996zHjbsRYbduF0FSbboMRaBg8Hsynw+r3fffdeAQjbl8fGxPM/T0dGROp2OgYk4V0Flhpi1XC4t5YYXQd05nU5tnidYC4sW3QioN67fSNcl6fDw0Dwm6MC4vh10EaDMS28UpaTtiUTCpp/RCeh2u9bu5GdcGTgcCXAGV0FK5wnjWu4DmA3tTewRCe4EaHQxfB8ZIRgKJQPZRSgUUrVa1eHhoXmFrFYrM6Ih8wAvgtOCJqbZbNoQK0oimLL4jcI7IVuYTCbW+g0EAnr06JEFAMh6AOeRSMTAV9Yx3hSj0cisDRAHktmRyZFRRyIRXVxcKJlMWodlsVgYNkc7/aGvtyazYINiesqJnc1mTSYMuDcejw1ZRjXJYsGtGRoveAPAFU7QH3/8sQ4PD417cHp6ah0M/B9ubm5sjolr9cfCPTw8tIcP/ZoSgNYoqSPO11B2CSgHBwf2epQcLjDKCXl+fn6vZqcLQ23Mok8kEvdcqDKZjLUZ8faAqcjvIVDjJ8LJxQkHAxOj4L29PcseAH7pbCBgI5uDTQpOgFEv9xFOApmK9EYnhDiMgIiOg/KR7Mkdp0DmIsmwADAMsBc8VWklUz5RBgQCAT158sQAStzYMCOmtVkul1Wv183chvKu1WrZkCSc1rif4BeUeWAx+/v7Ojs7k+/vxgbQhse4Gj0SuNlnUYa8FZkFba/tdquzszNrEXFKE+k5pZnngZLU9aicz+fmJBWNRs0xnM0HyIfTFfRjMIVkMqlGo6HT01MTgoXDYR0dHSmZTFpffjweGynL3byuAxW2fNjzk0Kif+F78cigrcmJRNuOzQLSH4lErM6fzWYGUsJJwMjHtb8noIHdoC7lvoM7cMIRHIbDoY0shLNBmk4QoayKRCJmOwjXBG0I6lna2GAkdG/G47GVUGQelHTz+VztdtuGUKHdkN64lz9+/Nik9O1227IU/DsoBekoYUaMf4nbZl2v1+r1enr16pX5jUC+Y5O6bFEwBVTGZKwYLRGEw+GwYS1wJcAvbm5urMQk2Eu7koh2fKFQ0NHRkRHnHnwfPvgrfgbX8+fPTdb8+PFjY/OR4kMV7vf7JtRho0oyFWQwGLSBx5JMS8HcVMRegEWAU3t7e2YLzwmGvyfpcL1e1wcffGAqUDYopw8AIIYqdARIjaXdAkun03r+/LmNxAOEA5sBlwHvoCQBV6C0IAiGw7uBzb1eT41Gw4BSZp7glQkfgpMdYxewG/4NfQLfT6qONgR+CDwMugik4TBEy+WyPReCx2q10vX1tb3vdDptVG8k7gjGnjx5osViYbJ+WI9sFO4dnhk3Nzdqt9vyPM+czmBWSjIuiasdicfjxvBlM9NtQBzGzyYSCT1//twk+Bj58Ow3m40ajYaZBhOYHj9+bEGeMhWglfvJ/XHdyggObrekXC7r6urKAuZDX29FGfLRRx9Zu+nm5sYehstgzOfzGo/HFghIW9frtUajkSQZpZd2HfU9IB9AKG0v/BkAKpn5QbsTKjno+P7+vrbbrfE0OHF5P8FgUMfHx1ZygEUkEgmzgqd1ls1m7y261WqlWq1mmhEWNKBjq9Wyk4e2bDgctpOShSXJygA2VTwetzY0lHXs8xBukV1hAkM7WpJhRaFQyMoeiGKUXeAbUK5dEhw8FrALaRfs6axEIhELStIbuwBwHlqIALe8PpoLbP0IFmQnGN1AfEIWUKlUDLtCIkBQgzQFZ4RnhOKUAT9ku8Fg0GbKAJj6dwZDlAtobAqFgg0ochXMo9FIh4eHisd3Yx263a6VWOArdIToXn0WuMVbkVlIsj6+i5gDIkLywWcBNJ2vSTI8AasyUmvKD7wpXWGZJHPWdnEB3KUwYYWDwM+4WgdOxEAgYKfmxx9/bIAgp+3FxYU2m91EcTQYqDQh/7x+/VpXV1cmRisWizo+Pra5rVDUQeYxAsIcl3p6NpuZRyiZ0NHRkcbjsT788EPN53OjFQMegoUQjClRMLohWyItB2sAKGWjQb9vNpsaDAY6ODjQ8fGx/QxELOj42WzW2sec6GQakJPobgCkYprLiQ9eUi6XzbUKoDadTptTGO1OMA4YlpRp4fBuFow7BgJKdzAYtBkfkNK4R7Rb0dxQgtLhiMVihu/AcG2325aNAqRfXl4a7kRXKBKJWODyfV8nJyc6ODj4TMxv3orxhZFIRD/4gz+oFy9eGGkHT8p8Pq9Go2HfB6oO/wKmnKR7KTW8foA9Tk9XM8FCkKTz83Or7+nvo2wl3XbNaYj8o9FI5XJZi8XCTleXXYmRiUu6AVx0Xan4nBjdwJtAUAQOQssRFSM6FzIicJlgMGhT0vgdtEy3262VMZjDSrKsaz6fW/1Px4dMgpYgLUXXtJeZJJyCEN4Itji0SzsnKXgmlIXr9Vq5XM5OWIhIeF+2221L3w8PD63EAs8h23RbtTBWkeKz4cG8aJEyyAc2LXTvzWZjBxnBlZIFEtzBwYHOzs4s8wOEh2tBa5Th2PV6XYVCwd7Dcrk08JqgPJlM9D3f8z22ZhqNhp48eWKdvM1mo1/6pV/6lvfi78XgfGsyC2nnRP3y5UtbFJKMeYg4zBXXEByI8BimYuJLZwH8APo3GUcikVCj0bhnlU9pwc+6qD8BBOWktNvkvCbgWDAYNMwjmUxa7U79yeIB8Gu324YfrNdrC4Sc9O5ENVJYqNOfNJYBeIMLQWYlyYKJJAOQSefhM5RKJaN6ux4MnKiceHA40um0Hj16ZOVMu92WJMtKaDkSBCjLKE/cDX1wcGCvLcnsBySpXq+biAruCy3fdDptnBxMb+h0sPHoOLnlAdkDZR1WgWQ5CM8oyThcCHjcf7p1kUhEq9XKwFgc3hnwzfs7ODiwr4MRLZfLe2VkNps1r4vVamUtWwBSysiHvL7rgsUOmPHsv1yo8AgAkqyN6mop0um0bm5ujGsAl8Gd3hUKhaxH/ZWvfEXlctlmjeBazeRrFh/0cUhRZAW0/Di5BoOBUX55366dXb/fv+exQBeBAbnUz5jydLtdEz9ha+cyAQOBgHE84J0QzADRmDpGAKKvz8ah1m00GsZBcE1WKL0kWV1PMCRgVCoVm5GKHgRF7tnZmSlPcY/iOfAZ+BpjCMgQ+v2+zU3BCh92bS6XM1VmLLabJ4szF0GHUZJkYwSei4sLNRqNe0HZ3eTcE4JTPp833ALDX0Y/uMpigiblAkGkVqtZ9oTrOAArmRX8HwI7WRPPoVgs2mu6dgTMiIG2j/L6oa/vGoDzi48PFCo8UjkdUH+yVS4Z1M1gqfd/459LekPEikQiarVa2m63JuihxUW9m8/n7USl5qZ9RVrKAr+4uDA6dySyG2GIAhNtBWkn6LskM8jZ39+3ehdADE0BJxfsSU7Tp0+fqtPpmEELGAeuXPT0Oc0QONFmBGFncUgycZW70DjNWED8HvAbpOGh0G5o0sHBgQVe+Bd0bxB00UpEvERLEMAR/gqLnmcmyeTxlCuQ4CjtwJiGw6HR9gkmlHCoTH1/N0W8Wq3a6Vsul+3eox0hQJOtsLngr6BVAdSW3pSHktRsNo0H8ejRI+O/EJw5SAAz0S4BjjPhjYBE6YFhDeu11+vZcCEYw4C8+Xxe6/XalMtf/vKXzS4AXKpWq9ka53c89PVdkVkEA56+8q/8K3r86FD9ia9qNqb+VNpLhOUFgsY/oJeNQpCUno2FJJ2WHhuVjUKqDsvt/Pzc6MYuWEU2wPAbAgCLBjAQ96lQKGSeF9Vq1TYUbEZYipvNbi4E08pdjgcnK4Yo19fXms/nOj8/txIqk8kYoAqZ55133jGQC4MdGJIAffA8XIs6FhP3h86MdJ/MBDGIjYtkv1armXQf0hvZDKc0eg9XBj6fz01XAZ2bbAmZOa1fTmFqfU5slwmLUBDgkzKNe00pwfQzRFewKxkXgGtWvV63IJ5IJHR0dGTZAqAk5dbR0ZENNsJIms9PCeLK8RGcMXPXxUMocejQJJNJwx4QxAHev3jxwlS6GBbD/aCs/iyCxXcNwPnf++r3K5krq5pPqj1cqZQJq95fKuwvdHh4qFgspl//9V83FJxAwUkDIQvAKBAIWF1Hr5zNSFnAZmo0GmbcS+uTuR4QkACSONXhOdTrdQsonFLIor07GztXFQmuQSkESIdXwtOnT83WH9EaHQ34CgB90Kyp++kKATy2222Vy2U1m00jPcEapFvgsjRB6/v9vlHk+TlJBjYCxEG7Rn8CxwKzF9rS2+3WTmpYngST8XhsRsPukGY2Ho5ZdErggfC7APxwSgNbgXMB2xQsQrpv+kxL+v3331e5XNZyubTn687k4FCh5IHJCn8HPgldI0piSeYbgn5psVgYsEwmslqtdHh4aIcEuBYkLOa8AHoTeJAq0CEDt8hkMvqn//Sffst78duSqH+nrt7wVr3hrS5f7/7+2vm3er2uH/iBHzCGXDQaNR8HQCYch1arldWONzc3psAkBcRmjZqYOpkuBAg45B0eKCe022Kr1+t2YsLlpyvCaQu7khodL0cyjFKpZAxV2rRsbnf4DacvylDAQ1y5Dg8PLRjhOJVMJg13wZuTwIMVIQ5Z/GwkErFuEAOR8PxA+8HrcCLCUYFyDyiM0AuQko0FAQvSE/cbsSDZGiQ6soFGo2EtYt/3dXZ2ppOTE5vhQfnTarWMdQl+AvAKXsPGDofDevXqlSqVirVY0b4g38d45vb21oIvAYqSihKVubPgaaVSSe+9954Gg4EBxpROMFEB3ikbi8Wita8zmYwODw+tHOTA4hlxzyhHj452RnXfTbZ63/ELCvJ6vdbNzY0+/vhjrddrc7UmBcf+Lns3NAcs4vT0VKPRyByZJVm7C5s8UlkMT2F3RqNR029IshOLmjwYDN4jDUlvTFboSgCyuYGH7AVvjmazqUgkou/7vu9TOp3W/v6+WcqxyWnT0ZOnLTm4m24GQEmQ2t/fN94AZRhpfLfbtfrbddB2AyLzK+gi4fuB3J8NyEaFLEdaTfbH5qR1i/MVwR1MB6CPw4BOE+QyadcVOz4+Vj6fVzQaVafT0YcffqiXL1/q4uLCTn9avu6JTOaDNweaI4yF+LnpdKput2ssXe41amZcwiCmcWhgBEwpMZvNdHFxoZubGzOY/uCDDyy7PDw8NKtFnuvp6akFt06no16vp+l0qoODAxWLRdPy1Go1M2XmYGG9flca9n6nLhYhBrfUaXQOqMez2ayVGuPxWNVqVcvl0sxsSNcw2N1utzbKkH9//fq1naIw+1wCF0GLUuD58+eaTCY6Ozuz0gXi1na7tZOHoUW0alerlZ3aIO/oBQDQKpWKYSYY4nBap9Np04IgmiMDgAyGNgTGIqe8W0qwaQgE4BCM7cMdvNvt2mYA3GSDudPQSOGZ+Ur7Ebak7+9MldFA0LZk2j2bMBAI2EkJiE2Kjtx8uXzjaA7A6uozIPCBeZ2dnUmSUe15XbJVOh9Y9IHngHlhT1Cv1y1jBUAG2GQd8XsoWxqNhtHg+d6bmxszQ2KDZzIZA3/xNlksFmalSKmFTST4EbNdYH8+9PXWBAtJ94hUR0dHymQy6na7evbsmVnqX15emhQbYIzN5ErCqff4Hk5NMhQ2Heg+tSHgmSvsurm5sWAG0DqZTPTs2TPzbEyn04bwQ/UOBAIqlUrWwuR3s1Gr1arNkIAFSPcA12eIWPT9+YwQnlikgJxuv5+sDKagOwtlNBqZG9dsNtPHH39s77FWq5mDNgGRbIlJ3rBhwU8YMUApIclMmCFqEahobQKUQrYDS+h2u9YZSafTZmx7dHSk6+tr85Og60MrmdMe2vnt7a21Njudjp48eWIZG0xYwExXFYx9ILwcVLLM2QUTIVD0ej0Vi0Vr3WLOxH8hxdEN4xmDPwHuujyNd955R9fX14abFYtFFQoFM7/5LMqQtypYQERi4VAGjEYjVSqVe6cMfg8AYC4NmD49C4maj9KC1yJ9R0aO49LNzY31wJnxgX388+fPDTlvtVrG3+DUICWmjUsaDhV9vV7bcB0WJ9RrWI+AheAw+EBUKpV73Q1k6QQAgDiykE/Slukw8Tvee+89TSYTq4shQ9H5wXCH16ZNDe8EmrT0ZkQiWRRMyU/aAIJ34LoNKIlj1MXFhZUA2+1W19fXRlICfKX0gSYPJuKWCq6jNn8Gd0Od2LTdbteIWgQYwFmASgI1rFVs/fGi4JBx26GlUkkXFxfm9Tkej61VDY8kGAxaN433w3o9Pj7W5eWlisXivRmyknR6eqqDg4PPRHX6TYOF53lHkv6udoOEfEk/7fv+3/Q8Ly/pP5V0oh0e+Rd83+97u8Lyb0r6M9qZ9v4vfN//9Yd4s8Vi0TYNLUJYfvgrEhCwmUNCDfoP/tBoNOT7u/keEIZYTHgEEHQw7UUBisIPo+BCoWA1I8pUMhZwANBySgWmYdMqA2k/ODgw/QIpN5nKer1zie50OiqXy2YfR8ZA9+L8/NwGCXEK8h6Q5runFhsXH1FOJtqLvC5pebfbNewHejsnH5kLbmZgR9w3QF8wg8lkYv6UMFez2ax1MfieTCZjpQ14DxhIJBJRNps1zYsLAkYiET169MjeYyAQULVaNZAT8hjPiwwEKQFZBi1ZNiU/iyfHy5cvDaicTqemrnXbuQgaCQjumgD8nc1m6na7JvDDL4Wu1Hq91vX1tR0AdF5wKGMcAs/8Ia9PA3CuJf2vfd//oqQ/LumnPM/7or6D806pK0nDo9GoBoOB9Z05ndwHMp/PbT4GixZU3WXcuaYu1L08zHg8bmw9lIW8fr1eNwLM5G6GJwN2OYHZSABekH1YtChDacNBKW+32/a7WQx87+XlbuDbzc2N/RymPNLuhK9Wq8ZeJF1HROZ6atCGJnWGVxGNRu8pH8EtCNQuoxTlKtRlScbiZLO6bNrz83MzhKFcoBPAKQ7pjuwBnQQlCCMJUeRut1tdXl5a0CyVSvfGQjLegSAASQ6+DsEKfg2lCCQ2Dgs2Nb8T4DccDuu9994zoLZSqRj4yoQx7PTAaMg0XEk7jGAOE2bPAlpDXWfMACUSmBKaHzLvh74+zazTGzID3/fHkj7QbiThd2ze6bNnz0xABdUawBL57rvvvmv+B71ez8RHdEqoWykRaHXN53N1u12jP7sttHK5rNlsZgEA1WI0GrVOBVRxAhOUdDIKNgSqy/Pzc/OiREIN4IkxLycMgqNoNGoDacgUcI/ihMP9K5FImNMWaTOWeZKsayHJfg/qXRd72Gw2xi2BRAa1mkBN1sXCJGgj+qI9SDszm80aiYy27WQyUbvd1mAwsM9CuUTbU5L5e+AzSeu43++r1+sZlsQUuVAopMvLS8sKXBPhfD6ver1uRLCzszNrHfN+yVQxFabEIJhhq4fb+Gg0skyHgwXvCjptlJnI0cnwwI4kWSZTKBT0vd/7vapWq6ZDgifDusATFI4K+iSIdA99fUutU8/zTiT9EUm/rG993uknX+snPc/7Vc/zfpXF+y+7Xrx4oVAoZGk7IrFEIqFyuazxeKzT01ND+4+OjgyVh2zERiBdlt60TtEjcIoDgnY6HWtxuQ8Ueu5msxsvSNsT0JGWYafTMcMTfA2eP39ufgxsfvfkh8YOWg4Vvd/vq1KpmN6DBUOwc6nNpMOxWOweEJtIJGyTIX4ivUdxymnHe4aQhsMTHpLgCW6ZBQAaDod1cHBgfiMYDHO6LhYLM2ypVquG60gy+7lcLmdBC8IZzwICHWQ2fEY4GAgQ7kZbr9fmBYJFobTLjpLJpOFPYFxgEvw8WARlDIEZvsPh4aGtOUBQaYePQJYCf+FeUnbRbWPtAA7/xm/8hl68eKF2u20lI8RD1+wZ0iFg62dRgkjfQrDwPC8l6f8h6X/l+/7I/Td/t4u+pbzH9/2f9n3/+33f//5Po71HlUmLE8LQ/v6+9ZnRUqBTwH7MnTAGA5BU23W8ApOAlSi9sWwrlUrqdrtqNBqG1OPPyCZ303BaeG56DzGHVqVLu+52u5Zq04XgBKaOB6NZrVa6uLgwb4hcLmflGH142Ikuo5TMipZnOBxWt9u1cq5UKkmSLWyeC+UUgZqxC9C+8dykRcmfcrks6f6ApWazaUAnKXw8HlehUNBkMtHLly8VCATukbLIXqCaw3eA3UlpymZxRzHyDJi5gn7m7OzMsi1o4YCwXLVazVrkR0dHVk5BD5dkquEXL14YDsN74F7ixEbZu9lsdHl5adkQ4kjwr1QqpXQ6rUqlomfPnmm1WhlmhZEQM3cpz9frtckBWF8PfX2qbojneWHtAsX/3ff9/+Luy03P82q+799434F5pzgEIRwjKr98+fLe+EBuFKk3szYjkYgNK/Z930AtZqWSdieTSeXzeXU6HasDOd23262Oj4+tFTkYDCyoUFeSiuN9AXGp0WjYjM+9vT11u10dHh7aifLkyRPzUwgEAqZm5M/dczBsZX9/3zZ8q9UyVWyz2bTMgV4/7Er4EbwOgQpwlNIHzQoZCd8POEtaDsWd0ob7AXsRZqckG9XI1yBIYWhE9wTuCtR22KXc11arZcOR3IyJEsY9MPi+6XSq29tb03FcXl6a7SE/h1EyZSavhWCPDAPcCXwD3OTJkye6ubmxEg/xG8GN9mmhUDCXNtrcEAdhdFKaSDsgtVwu38sIG42GHTR0ZHjf/X5fR0dH1gl6yOvTdEM8SX9b0ge+7/+fnX9i3un/Ub9z3ulf8TzvH0j6qh5o3inuVbgSMYw3nU7r+vraJLzgGJLU6XQ0Ho+N5dbr9UwkhE/EF7/4Rb1+/foeFnB5eWmncaPR0NOnT63NdXl5aVkDtGDoz9Vq1U4I3MJ5z7hVgbrncjmdnp7e68W7s0EwiwHtx3cUsRsLHfISKHw6nb7XBmRD4soUj8cN6yDT4lSu1XbQUigUuue6BeMT4yBIQ4zLw2ouEokYbwGRGAQsZN/z+dyyRAKRa3rjjj6gzKG9i7oTjAdXdlihtDh5HRSZZBnRaFSNRuNeqxoCGqczBrq8b2j3aImCwaCd6gDfZIngIZKMfVosFu1gq9frlolgTuTeN9rPkLTASTjUyCJYf2BpaE56vZ729vZ0c3PzB+OU5XneD0n6Z5J+UxLN27+hHW7xIPNOP41T1nvvvacPP/xQgUDAuiNE6M1mY719Ng10a/j9AD5sYERjkiyLoM0F8k120uv1rFNBSszCJVgBvAJakf0QSACdXHo0tTvCH8oG6mNme8Ifkd7wNOA0kKZnMhljVSKUoxshyU5hNiatXkhPvCaqSpf8FAgErJ4nsNHBoNPDKUoQIIjiaMVJSRmFmAq9ju/7hgPwPYB1BAHKxPV6bUGOje1aK7LBXSo8IyDomkHSk2S2/LB6wVnQfvi+b3wHsgmwIVqtBG2CO19vNps2VxeyHdwdxGGxWOyeEJL7mEwmVa/XDcgF+0DcCHhaLpeNX7O3t2cB6hd+4Rd+z739u13f7qzTX5TrQnP/+o7NO6XOxTOAuhkNgSth5qFVKhUrIThhGVaL1wBemGxCWH4QfUibKSUYKAQQxwaT3nhvwgfhFEAdie8l7lOYDx8cHGgwGJh61bWvo4XqUs0hp1WrVV1fX5sbF0QeLPzAaqrVqgnQJFlwYFNst1v1ej3TLkynU7XbbaMzU2KUSiUzSAZPoWvBpup0OlY/Awwvl7shPTBrPc+z7ISAxn3EmwLmLEE7EAjYhiFgj0ajewrdT5aBkUhEzWbTAlCtVjNGLV0iAh3qUnAjsCaA5P39fbXbbTuIYrGY0b9Xq5VJEGB6Hh0daTKZ6Itf/KJ6vZ4Bup/ElujUsHZPTk70wQcf6PDw0GbY7O3t6fT01A40AholF2ueMomg/tDXWyEk48Sg757P5y2TmM/n5p8J7ZaMgRO0VCqZNydCLDQfpPYuYQpXKNJbiDDb7W6sHOkqi46efaFQsM3lTqPCpITsgDkQ2LvD64D7QLrpsgMZntNut627sFgsLGUn06H7w8YJhUL3HKElmWjJZTGCHZA10KvHAoCSDNOV8Xism5sbo5aDJUn3sx/P8+x5gevADwBvcanMaGkAp13wGf+JXq9nQSubzZrtHw5SxWLRPFAAxOmoeHcOW9Vq1cBpCFJuSYl3KvwRspJMJqNaraZQKGS8idVqZR0Sxh8i9e92u5J2ZTTUecoZ3hf8iP39fX388cemoiWQdzodffnLX7ZsSZKNogTHIWCD93wWrdO3gu799OlTY0UOh0PrX9N6wxOBmhDOP3RtCFrL5dK+H4bm1dWVfQ16L7VmMpm0NJpAAgAFiBoOh/X69WtJsjoRXILFyYg8NjYKUVJ6NjYjACgRWPAu6IZJL+VFOLybC4L/JCUA1GcCowuUAjre3NwY34FShsHReEOAX+APip097EWyETwp8vm85vO5CdwINNCawT14T7VazXQ54BVsSt4zviB0NSgFeD9kgmSezJ7FQk+S2Ry6owqLxaKR9NDZuOxQFMGwXqHW020jmEqyzAiAGHIVJcfx8bG1seHs4P1JdkbZDNay2dwflYjTeLPZVLVaNRat295HVcz6eMjrrQgWL1680OPHj+005QFTBwcCAVPkuYpUSgro2Nls1gRQ0m5TQ+kFjcfIdjqdWgdkMBioXC7bwmDB4I6NYYu7yEajkU0mg3IOYIUEOpfLaX9/39q7BBfagZzO+ECyIQD52IgwH9G7kO4TQNEUgOkA6JVKJQNRyS7ItkjHOQnJ6MA4AB/pOvC74XywgDGdHdzNIgHph5dB2xBAkXscj8fNMwRMZ7vdms8G7EuwGYDTarVqhkJ8Dv9OUUs5AthJZur+3XU04774vq+LiwsT7QHUQqwC0yKwM5MWr81cLmeHAUriV69eqVAomLcnRDZ+BgCaALJcLg3Lisfjuri4kO/7hodIssyIw++hr7ciWEgyfgIMOExIoHHT2waZXq1WOj4+NqDMRb9DoZAFEPAPLNTq9bo5e7OBv/CFL5jwCxINnY9ms2lcCDgMg8HgnqvSbDazuhrCD8YvzWbTeBFkRblczjAAaZdhwHZ0KdeYAeEdCSEIBezZ2ZlRlZ89e2aBipMUezsyMXgYBGOCJRkTG5PPSUBiehtApNsBabfbRlOezWZ69OiRZVAM/QkGg4YtgIVQz8PYxOGaTgDdB8oI5p+Q+fD6iMagfne7XdXrdTvp6TJwsAwGg3tmuFdXVyZnh09Dlru3t2c4FGUiTFOCvOuzSjBbLBaWuSJYpPQgqyPjWiwWevnypWWolHv4uzLeEZYo7Nc/1BL1yWRiKk0AH+ZAuIzMw8NDzWYzJRIJvXjxwjwuYPjl83lDy8E24NmfnZ1pPB7bQwFZv7m5MfSdWh+8go0D54AHCYGMUgUaL6ctnY5QKGQgFSc5rS8W0Gq1Ur/ft9q2XC5bMEMn884775hBCwg7nA0s+7DfI0tpNBpKp9Pm7wExy20f0uW4vLy8J9sfjUZ24mGwQzDFCYwxgXhd4H4OII3vxWKxMAKXJOMuUMagwaBUAdtA/zEYDCwjDIVCOj09lSTL5ui4ALyiS2HADw7rm83GBHoQpgCrARQhjOHrgf8nfA+6aYCjHEZ0XggM+Kqen5/ba9zc3Jg7Gx22wWCgSqVioDx4BCWJC+zSsubwfOjrrQkW0u5Gv/vuu9aNuL29tQBCWu2KpEC48/m8Hj16ZHoQpN0oUaU3NvvUuoCjsPZ44CwsamsG3mBVB2BIekuqe3BwYBJ42qsoJQlusC152GyKWCymp0+fWrsOJSYtw1QqpYuLC0uRXREW+AA8Akl2v1iYWMmByEOqYnO+fv1a8Xjc2tBoKvh+9BEuBwAiUiQSMe7H5eWlBQZEbPhOuqbBvFfKCEopSj1UuDic5XI5czcj26B8ACjmPpDd0EYGzJVkXBaC+fn5uQV5AtPV1ZWRsMhwaMMjo4dJ2e12zasDYSLg82g00vX1talNMTiijAC3ePr0qT0jSYaB+HfeHiioDw8PTYHMZ3vo660JFjhyQ0+mPmShc9PRB7AQ4DPQKYnFYvfs77C7H41Gli4DEmazWXW7XQPn2NCAeHQyACXpCpCGgldAAMNrk9IIsg8yZNp46/XamIf8wVmK9h2TuCmxPlmWIbvH2JbTkR5+qVSy90bABeshM0GWDoDIYCY0JGxy5NiMCqDrxCksydS9tPhyuZx9NjglmL6w0cfjsQVmvDEoOQBBOV3Bbgj+gIuVSkUffPCBYUPRaFTdbler1crusST7zGA4ZHHhcPje7FPkBdghkB3RPoeA5R4MEKfc0z4YDJr/CMGP4M89x1wnkUjcs1/EewVHNLc7hagRH42HvN6aYBEIBFQulw2BppYmQLjRt9lsKp/Pa7lc6tGjR7YpOfVZKJyAtVrNvCkYhQixyfVZJNhQYvR6PR0eHlpwcaM5/A0CAMY1dBLgEhQKBfV6PXu4gGsIiiRZOivtVKwQjSKRiPb39zWdTs3kl74/Rri8LsCiu6HoQtDZwYcSHAL5Ol0YSiJSdWaUfpKIRPfEBQMpB8Af9vf3LaATUM7Pz1UoFAzvgWo/n8+thofzgXAOUZ4kG6Qs7TgvTCinZMN0iNYmn+X6+toCEGI7Wtg8KzKd4XBonBMAS94zhwdYQzwetwBISeEC1b7vG1Ern89rb29PH3zwgQU6SWanWC6XdXNzY7NLAJXL5bIF15OTE1PJ/qHNLHi49XrdTkk6F5Ct4MnTu4bKfHNzY6eG68BMrTefz3V6emqoPag4EmXMZqgzLy4u7PcCcFLvk8rncjldX1/fQ8/JCgBKJRmBBrMeXKIgYIG4TyYTCz7uoofshSoUwZGbwXC68bOu7wdpMQAnzEDwAoIvi5dTjXILejE6ET6v21Gg3KOdjLELnhWr1cr0EvA+CEwE7nA4bGAuoC841Xw+N3YmE+q3263JyNvttpUWbhAD5GWoFAA07U3GVGLKQxabyWTMoWq73erx48cGZqL/IHjiMnZwcGBZHJ02Sl1KZbgeKGjRDblEMbIrxIZkSa6r++NiUc96vZ3s2/elB+RbvBXB4unTp+bpgKcCikIoz9iSgTCTGXByQuxhE0UiEUP76VLQleACO4AQxulBOxasQZIBWuFwWL1ezzANft51McIPg4yiUCio0+nY++c0Y1PRh3cdztGOsDmj0ail/wBmLLJcLmdtN+4VAQVzYMx1SqWS+v2+aRcARem0QKQCoHPBRhS7+FDQReDraFU4NWnl8t9cLqd2u23MWd/3DSch2Lm0e8hcy+XSxFYIqyqVirWgadUS/BggJO3mbSAjh9gE/4UOCxR6XofuCVkah1kymdTLly/NfAgcg8BOZsZoTCz2UqmUqtWqLi4urIzk85NluSbPaErIjo6OjnR7e7vzF7m5UeD5cx3cgbwPeb0VweLFixd2c4j4mKxSf2McQxt0NBqZKUn2bnAym71YLOrly5f3pNOuPRxtKIhDrndkoVDQdDq9Z7gCzx9LPUBPLkBS+BrtdltXV1dWEzebTdvAyWRSV1dXRg7ia0zgIvOh4wLmwgnDogwEArq6upIkEzgxUBrTGoIn1GrXQRpOBUAp5rv4lXKP8V4ABKQ0IFOAeQnQGQwG9fLlS8Og4E6QQfH5eI4Evnq9rkwmY9hHMvlmUnwul9NmszGvUsohwEb8RmkJkymg8j04OLjnUgW7dzAYmB4EujnZay6Xs84SgCqMWs/zLAOAj0JZgnEzrVqUw51OR4VCwVqs5XLZjI+hkV9dXVmG5XpuYOi0Xq91ns/raDrVx47U/qGutyJYSLsFP7iz2Seyp1IplUolSwPdliTCntevX1tqSYeh3+9beu62P6GVI6CilnQnYgHuIS3ndZhZiQkJPX/qf8oYNizgZ6lUMtUgKXKtVtOrV6/MDhBCEqzVWCxm/Aw0JdwHNB7L5dJeG6AQchLdEToBtAUBddnwyWTSxFIEJVeCjbZif39f/X7fnNXpEpH1IMdmJguanfV6rXfeecfKRboABEqeCb+LtiG4xWazMT0NZC7Uqehk0PsgdZdkHR02PsQqWujFYlFPnjxRu922gEirEs0NaT9We+fn5/Y9nPg4uo3HY2MDo/lxgVnYwa1Wy+wBWEMQrKBvAxCzvtHjLJdL5XI5dft9Nd99V6tu90FLEOkt0YZIMj3EJ+tIaLetVktXV1c2GIi26vPnzw30InvAzJW2JerEfD5vQ2T6/b7y+bxlI9Th6BJQmwIm+b6vq6srNRoNhcNhG1cnyWT16BT4naTodELW67WRfMBVttut+TAO7iakI0XH+xEncALAxcWFut2uIfiJRMKG/rDhAIBB00ulkrLZ7D2KNdgJXRBKLTYMAaxerxtPhMUMmIvwC1YrSH8kEjHSEuxFxFYAu/A+xuOxlZ/b7Va5XM7AQ7pikkyKD8eE7gJ+ltj8UZq6w59zuZwxhK+urvTq1SujptNuRxn76NEjCwitVstIfHBCAEkHg4Gur6+1Wq0MTEfMl0gkbMNT5lGeEbTQwQSDQWMe4/aeSqUMOIZnQrueoPjQ11uTWcCVj8VievbsmW0wetmVSkWhUEidTsfYg/P5XI1Gw6I3pxzlgvSm9qV/TZ0PcQuuBcaoJycnNpEMYRQPF3CRwOHScNGikJqXSiWNRiOrZ6FwQ3jitIFU5dqusRjhNoBHgLTDOSALWiwWarfb5rBUr9d1dnZmIC9TsVBrgqswFOedd97R7e2tzs7OjNgGLRmgj/GRUN4hJ1F3B4NBFQoFq60BUPEHoUPgiuXYXHwdbIkAQZaJVD2ZTJqqmFKMLJOxkZQ+4F20L12OCY5UPA/IZFDtwT645/ydUu3s7MxGZFJ+8J7J7NrttgGmkkyQiOMaXTMAbBittExvbm7s+YI/8bl57Ye+3ppgATPt9vZWr1+/thMfIxxS9L29PfX7fSP+uOIiUthcLmcWa4VCwRZqq9XSwcHOLhQ+gRt4kGST1eAv4P45PDw05SE8CFqfLFjKGMAxzFDw4pB2vhuSjCQGyYzTDiYgwJtrH8eoAPQt2WzWSjGCGAHK7f/XajV1u11bgD/8wz+szWaj09NTAwpDoZBhKqFQyMBIgDkGBfFcGLDk+76VQmRwZFxIsdfrtQ1dolTy/d0cFybO4e9BJgZlHUd0OAlkXvA5CAZQ2ikp8Ld0FcZQqAGfKRuSyaRJ91G28loQyfB0Begm2Eu6J0nnd7KGXE4KGZC0y6ibzaa1kEejkVHgYSMjXcenlbX30NdbEyzoaAD+EOmPjo5MN4EbFl0JWmXwMrguLi6UyWRM0IXIZ39/36ZsMRJRki2EzWZji5JMZblcmhiNaeKcQNls1tp/6XTaWqFoR/gd3W7XZosWCgU1Gg1dXV3dEzYBwJG2Qlenjw9mAvaBdF/acQ4IGNJu0fK+8FC4vLy0OSQwUr/xjW8oEonYIqROh5RECxY1JuUeWRCIPmUam1/SvW4E5Qp6jkAgoGKxqE6no9vbW52fn1tpkkqlzNZQkonpGGGAGQxg5WAwMKwGIBcfDQxvIYmRbcAdIXMCBCbjYCQEBwnrE4CcljHZEXNWyIah4WNhQKDnEMJoh2wWWkChUDC1Kp0+QPPFYmHBLpFI2KHzkNdbgVnw0GFL4tU4Ho/VaDSsdYg3AP1pNgc14WKx0M3NjRnt0n7Ed5MTDfUf/XjIX71ezx4MpyFAJl4Kvr8zE3bZpKTTq9Vu9BzKSMBAWqWLxcICCRtgMpkYxoFnAhoF9BXU/zhhs4Fos223W7tXrVbLgigAHB6eLFrUn+7kNoYoSztnKdczI3s3PX6z2WgwGKjX60naZSr4TDBiAC7Fzc2NcQWQ1L9+/dqsEIfDoWUEsCZ5L7lczmaD0IJEZEjXQpKB0vBH5vO52fXBSgXXYG4ImMdoNLKsgw1Lpkg3zm3LQ3CjJKTMApcajUbWISIYoXMigKLuff78uemGOOSOjo7MFwVMBkGbK2yTZGvqoa+3IrN48uSJKpWKarWa2u22tZ2yd9OuMErlBmPXBnCJkQr1IVx8Tl84Fnt7e6axYIHBtOThcvIgk6YlilTbBStd3QRtwHA4bPMsXM8JWm+uw1a9XjfdwfHxseEnvr+bTUqWE4vF1G63VS6XzXeCdDUajapUKhkDEYxDkg4PD9VsNq2kgdWKW1UgELAOFJtDkgnGYB1KsiyAjQV5Dhq8CxJKsswuHA6bp6W0CzDMw6CDxCbmWXHi0yqli4UuhrYl5SAtXQLTZrMxfIlN5nmedR0oSbbbrd1XAinZE++hVquZS1kgENDh4aHJ9PEFdYMV7VKyHNYgvxcHdTIWeCmDwcDUxmBVtFrhFpGh4r3x0NdbESw+/vhjxeNxXV5eqlqtGlKPixKnDuzDUChkCxsqMIQY0t5oNGr1IuCmS0DitCDAbDYbHRwcqNVqmSmN7+8ctfv9vtXpMPSoxTGQQbxWKBQUCu1mhUCmQSqPlRuO4Jx8lBdu1kDbDy9JAF6YlNVq1diilA0ELDKU09NTA1txydrf37euzXg8VrFYNJCRU5V7fXV1ZYAdHpkQxVar3aAlRjZwwsLLgNzEab+/v6/RaKTz83Nrm2YyGVN3Al6ifAXsBlvg5Of3bLdbC050xsg08ZdoNpv22SgpXLeyYrGop0+fyvM8w5eQ/yPmm06nqtVqJpm/urrS06dP1e12LXOCGdpoNOzecbBdX1+rXC7fEyBiU4CEn8BL6x7Mh6CGqhZ8hZL5oa+3IlhIMoING5N6kFoaJaR7MtLOA8ji1KNNxQMe3E01d52g4R6EQiFz0OLBHxwcGNjlai663a6dVICH1LIAnZJss//Wb/2WKpWKbm5ulMvlTNgE8xD/SZeBCDEJExQIX9TJ0JoByFjQYCYEGFSliURC+Xxek8lEkqyGZvFyErvyeuz7cPAii6PUIIshS6Ldyr9Np1MLQqTabHgCAO7Ym83GWtd8Jl4D/IeSr1gsmrQbV3A6SKlUyoIQJrhsMoIoHSq3NKvX68ZEZX2hpWFtQeUGwGw2m/b+wC5isZiOj48Nd6NVS/k8mUzMUQ1sB3IZ9wZGMBkzHi8EOcBOnvNDX98Us/A8L+Z53j/3PO9feJ73vud5//u7rz/2PO+XPc976Xnef+p5XuTu69G7v7+8+/eTh3ijrm5/s9nYvEz0FCxo0nbf91WtVlUul5XNZrW/v29YB0YlcB8AMiHVALAxyhCSELMnzs7ODIAk08AAuN/vG9LOxgewikQiuri4sC5CsVjUwcGBnj59aouRDAV3Z9ySWJSt1m48C7oCSEm05XCg+mTJAsjIiUjrmGnvcAI42dxMAGEV/hxkPIC0YAUAcvT/8/m8aWaglHOSw6tIJpN2siYSCfMegbMAKY1g/e677+rRo0f3PELu1p2tAbIA7km5XDbqfCwW0/7+vpG/XP9Ol2h2eHhouAlYFroiPjf+msVi0TY9uiV8SbjvZBW096fTqc7Ozuw1PM9Tp9OxEpL2NaMFAEnB7wDyc7mczZ7t9XpWkn8W3ZBPA3AuJP2I7/tfkfR9kn7c87w/Lun/JOnf933/maS+pL989/1/WVL/7uv//t33fdsXHQ02NieDO9laknElmK1BmgqwRQuMhcXmoiXJqdTpdGyjufhFt9s181m4EdTIUIrpspBxgKBTewOQ0WkAw0BmLMk+G/RhuCKUDavVSp1Ox+Z6ctqTauM6BS8DEJf7wvdjXyfJSgbXEYqau1KpGBjHEGCAtGfPnpmuZLVaWWuPUx9VLmMiAeVw+8JTleeMZJtWMubHyWRSr1+/NtaqiwNJMu8S158CBi5sUGwPs9msqtWqGev2+30DXZEKHB8f/w5nMIyJILoFAgG9evXKfgdEOAR2gUDAiHuBQMBGOALW4v0Khd+9X5DW9vb2DICH/0FQqtfrxrmAARyPx/9ggoW/u27v/hq+++NL+hFJ//Du658cjMzA5H8o6Ue9T/HOK6W84qk9FfMZxRJp+y8X5BdXOg7IyEYCrWceB+l4NBq1GZ3Sm2lRtJ/g8EOllnZIOqcc4BmdFkkWGEixscJzjXPcoTpkH+hYKE+QgtMnRyzm+7sRewCqm83G/D6n06llSzAyOdnBSWifYSMHUYpNCXMUXAN2KjZzLH5OQ+T+kUhEp6enur291Ze+9CWzGeTzUUKA9EsywhfzYBFvEQTZiHRveJ4Eb7oJnLhkWtDwXao+pSevywHD90iye+Ya2zCOEdyDgVRIwGENE6AIqqlUSrVazd4vGJc7MpPAMZ/P9eTJE8teKCt5No1Gw+TsBJNwOGxjMwFEcV5HS3N8fGxYHhIInvNDXp92fGFQ0q9Jeibp/yrplaSB7/tMNHaHH9tgZN/3157nDSUVJHU+8Zo/KeknpZ3c+NlxTfHCI23XcwU9Txtful2s9c9/6Z9JemOrR/+chU/PnO4GknBk0dB98a2gjTmbzUxAtFqtDFgLBAJ20sFoBBfASRpfA+i/w+FQ7Xbb6vBAIKBSqWQnmAuctVotIwxJMgo35izuMBzUkdSjBIL9/X0rgyBqoZdgNCIOz7lcTqPRyDKu2WymfD5/T2GJlSAGumAcUMxpM7569cr+HcAZlWcikdD19bUKhYLNBEGZyZQsPDTRynieZ8+v0Wjo0aNHphxFCo++BVIdsz96vZ7Z31E+wrgFYM7n82q1WjbSkdOYsgKyFSUSArZGo2EgIn4TbERXo4EJE50vSWbERHZEdvC93/u9No6Bw+T29vaexygiSYhk2BtycCHvpwTl+VxcXJjhkyQ7sB76+lThx/f9je/736fd3NIfkPQvHx/2KS/fGYwcDoU0miwU9Dfa+rv6bev78jwpk83o4ODAwCD61BjhMAAY3QApN6cjajxG1AOgwXDkRIYYBF7A6Q9rjoHAjx49MnCRBUPHgtYlmwVFqfRmLB/dAE7hL3zhC8pkMorFYqpUKveYiJQUMB2xmLu4uLDTnFYhJ4lr3TabzfTq1SsTdZGhNBoNW+jwA2i/EQg8bzehi9MNjgG+FNDJ4Vg0Gg07VQHo8Kjs9/uKRCIqlUp6/vy5tR0BOAELITrBZmSSPS1Oz/NUr9ctg0N+j4OUqw1h05dKJT158kSlUsmAbejk0KQJqvxOyjfwDxSwiNLghZAN0BJdrXZu5J1Ox9aiJOs80bmCx8HBBIWcuR/wS3K5nPmIDgYDFQoFy6wHg8G9AyscDqtardp9+gOne/u+P/A87+ck/aCkrOd5obvswh1+zGDkK8/zQpIykrq/5+tK6o/GOv3aLysdD2o82ygdD2o02ygWDtjphI9FJpOxOpZA0e12rebmtCPFHAwGNhGbNA+hGOULFGoCAAs6Ho8bAIYWBV9H3J1hi+K3AA9hOp1a4KJUQGbPCQ1q3+l0zK/RBXNHo5HNQQV0zGQyBhryuugtAGSn06mq1ap1SjgR0X6QwsI3+Oijj2xDg0V83/d9n2leKEfm87k5VOPQFI1GdXJyYsbGKGKZPUsnZDqd6sWLFwoEdnM6AZoDgYAR1Ui3IaXNZjOdnp6aXRwlE9J00vXj42P1+33DWD6ZZUoy5yuo6LSnGbjNDFwo4bz2arUySQHYVyaTMb0NJLNCoWCZIyAvpDjKS8BXMAm6H2REdHiWy6Xeeecdy0gJRIwPIItECzWbzXRxcWEGw58FKevTdENKnudl7/4/LulPSfpA0s9J+vN33/bJwch/6e7//7ykf+p/ipzoqt7UZDxQo9W1/07HO9T3/PzcZL71el2j0UhHR0dWu3meZycxPXZSQxh9uFRxUrBx2XyY4bjA2maz0fX1tWlNqBnpKmy323uzVJ89e6ZQKGT+leg6yHqwxCPYoPxEAOS6KUkyNBxSFFkJhryAnFB7+T5pRzy7ubn5HSkpgqVgcGe/TwuatBnNDFPMrq6uNBwOrSUnvQGbuUeet3MK52TGVardbltJR21O2dXpdFStVlWtVu0UxKSWFDuXy+n4+NjMj1wqNuMQySTwVWUNFItFyxRdz1Zk/4DCsHXBHChVMM+FsAcAns/n1ev1tN1uVS6XbZg0E84oB0qlkmmZUJqSVQyHQxsp6QKTCMji8bgKhYI5jnMA8L7pUgGEuvgdZeNnkVl8mjKkJunnPM/7hqRfkfQzvu//N5L+t5L+qud5L7XDJP723ff/bUmFu6//VUl/7SHeKIAbMyIvLy/tNKWFRP2Zy+VMLJXJZPTs2TNls1lTRJJew4KczWZ2GkLYYtGVSiXFYjGdnZ1Z3Vgul3V8fGxyddpp/X7fyhbSd07W2WxmwBsAINwG2pBgAwQW/g0sgaAD7gKGAvgmyTwzYD/ShkQwB4iJEzWLNRaLWSsXDOLVq1cmYUcGDRYkydirLmEpkUioUqnYnI5Op6PNZqOLiwsb8RgKhVSr1ezrlEaoefGWAKBttVqGw1BCgbkQuAiS0ptAifM3wRLcAzAa/gsdJTJUMgjwJkoD8B1sAAHPwVTIMvlDADg5ObHnfXFxcY9wB7CcyWRUrVbtPVLKoppFSMehBnCO3J+WPA7fn8X1Taeofyeu5KeYov493/M9+vVf/3VT2pGqkeImk0lj+eFVwGIj4iLt5kFNJhObmYpIiBQRai8mOJlMRqlUyngObneGocO+7xtST/2fyWQsLR2NRvY6vIbrm4nuA60LKTDEHknGR8DXAP9OwDOyJOzurq6uTETW7XZVqVTMmQodQzgcNkASOXkikbCTjRMaJ3L4EWRxEOEoD7LZrLLZrOE1gInocKjv6QaB/+BQ7jp048NxfX1tHSxOURfwRilKCo6FgCTL5Pic/D9tbEo0Tni6NAR9ArkkKy8gnmWzWZtABn6G8jcajVr2e3Z2pkePHhkPB7wEDA6FNCbJyAD8OyMfvEfA6jjA6MjBI7q9vTVpwC/+4i9+y3vx95qi/lYIySRZp4CbikUZNnfb7dYMUnCHwlBV2vEOQPwpFUqlktrttnq9nvEtcGCGkUmb9vz83JyTAAH5nZeXl5aih8NvTH2heaMMpLbktVut1j223WKxsPJKkoFt1Nl0PhqNhrUm4/G4MTqRstP9GdwNqKFdGQgE9OzZMzvNAC5xpGYzUm6R9mLpRz1NxgSAKe26ANgIdLtdvf/+++p2uxoOh7q6ulK73TaOAOzazWaj4+NjG1AMcQnwFO9QaOik+pRJMCnx0XAJTBg0g5243At3TAHWBHx+3/dt3AJAM+CwO4aAjJEOF0A69z2TyVj3Z7lcGhUb7g3mRpLu/W4CBOK4yWRyT3ZA23k+n+vw8FBPnz6VtNPmwO+gdHro660JFlCkEfgAgGGmys0qFArmmIwXQDAYtKFEtLZI5Y6Pj82bgFMqEono/PzcqL2JRMLAUwIOI+iQDcM+zOVyevfdd1WpVIyinsvlbHOy2TldKTNIIUHqAdIIkoFAwDolh4eHWq/X5lFRq9WMWwKoR3lFwANQ+/jjjw1EXS6X9zIlTkNSaAR1EMpoSbJZKWsk2XSyUGg3YNltoRaLRb3zzjvK5XJmgDOfz9Vutw2whCAWDof1zjvv6Ojo6J5XJa5UBD5YqW72AeAN1wO5Nx0vNDnuKYwhECWVq1wGDwEkJgijy+n3++p0OobH+HduYo1Gw7w70CZBdefwQTqfSCRUKBR0cHBg+BvfCy6RzWbNpZ4MlLWDFEGSDg4OjHj4WZQib02wYBMwZGg2mxn67aovqdGp7aBbcxIhZaZlRyeEmh4CFafJbDbTcDjUzc2NnSYwOK+urqzmjUQievXqlXUJVqvdbBIMVan10bUM7mZPQMlmPgc+ENTNbhuS4TFoI2iXtlotc4Yi6O3v7yufzxulmY7NaDQyOzpXQp1KpfT06VMdHByYahaBGxkSA3gYCeCKour1ut0vanzcomApQpQji4Pw5ILNBCACB92l+Xxu5rWSTD7PJHXP82xYMIE9lUoZOW0wGFi7FpAY7CadTlubE4Wyiy+RBdE2pq0Kga9cLuuLX/yieUkQ3N0sisyWUon1ijFwr9czcRn+KbPZzD5voVAwfQsg5+XlpdkT+L6vly9fWjv6s8gs3gohGf4JaDVYKIFAQOPx2E5usgdagACDGI7QDnUFOqSOIPBsUjw/AdJIx2l7Qr3FE3K73dqDBTSkFAEjIWBgvoPnBh0LiFP8PAsSViO2cAQkeBKSrPUWjUbtBJP0OzxGISJhvIMAjA1FZ4aOBW7hroUcAYZNAGFuu30zaV3agbNHR0dqNpsGzKbT6XvzRuFD4HAFJuVO9OIe0AlBN0PtT0bF6zI2kdKLLgReo4ixaNfOZjPLHNDjYFrj+765lkGCS6VS5jhGV4qyjUwI4RsHQLPZNOEjVo8YGJPpEfAZmA3JD2c1aceGRVX9zjvvaLvd6vT01FTHyBs+C7r3WxEs4E5cXl4a95/Tl3QUYg58APT8PHzSZui8eCOCvNPyYhAPN/3m5sbIVrSpkKjHYjFjWgJebjYbW7wwNzkN4FbQuUCXASMUN6ZweDebo1armTEOblWcGG4NLemeKhZlKsa20KUlWaYAYMrvRWhFF0eSbXw0DBDQSP9Z4F/+8pdtABQdBQIr+EckErHBPwRBJNxkdrVaTbe3tzaAKJ/Pm+cmGwuXrOl0at6h6Cewy+czrFa7+bfMA2WwEuk/4ixUxgRChImVSsXan2SsbkscsHW9XhvATAaGzQDrDg4Nnx3jJQDWeDwuSb8j64UblM/nLXPebDZ2EKXTaR0dHalQKBhVwHVJe9B9+LZ0Q37oh35IX/va1+R5ngFUiHw4ufFAkGRGNL7vm7cBoFE6ndb+/r7Jt10PT1I6EHzSWcoBOAmk08Vi8R4FXZIx7qDtQtDilIQZCGGHtBNh1Ww2M14HYBfmPN1uV9Vq1RigbFg0HqSoZCwsIJeNSvsQLxDQdYhvZB6kxcjtOfncmrhWq2m5WMhbrVSp1RS8o8VfX18rezcDFgZtNBo1zAN9BF0fJrpPp1PLgMiC6LAAvkLPpsRzzW729vaUzWaNm0A3AfDQJfLxbDkA+B4wEf4OEMzPbzYbA9bdzgjzZNbrtYm/CDzwaFx1MN02QFMm3YFXIUqklY9CGJEg3AveM5kuoxZ+7ud+7lvei/9/0Q1hsUGc4lQnzYf+y+bDDQkwlNYdbbd+v2/lDN4CZAVMkyL78DzPOgO8BzY4jFD4HiweZMu0HDnRANlIXyFlERQAFbnC4bBN1+L0a7fbdtq12211Oh3jDYDEE0TZVNCP+Qxu6xc2KlgIWRFZE4Hn6OjIBkcHg0HFYzHFu139yHarv/rVr+on8nkdnp7KHw5NTg9IKUmxUEhPIhH9YCSiL/i+9u/YuHQteJ6oVWlvov/A9wJWJmUK7W66IQRmStXh3fuhveoS1+Cr0OYmKEiytieWe5IMgKRTRTeE+wu7k+yKqfJ8FkBU1iEAdzqdNm8WgGuwIQ61XC5n2Sbrn4BKRwU6+meRBLwVZQgXcm/XDxG5LgpCN+VDYEV6iBktKlR68dSJ9XrdyEBsfCZ0IVaj5+4SaiKRiLXCkDyzMCRZy9BVflYqFWOlwqNgQ5AuwwNASYm3BCY9rvcmtXEqlbLNxMnndgcgRblepGActFGpzSUZmWw0Gun6+tpq/HA4rKerlU729/U//Ot/XU/feUer1Uq/+bf+lqr/9X+tSSql8R1TNpVK6VEkolKvp2E4rNKf+BP6kz/wAzr9+Z/XP//oI83uAGG6WFjUkVLTLgQHkt4oh1F+MhTZJWy5XBDKC14ffQasSzALyp/lcmmeKa7pDXwasCUUywClkixwgalxQND+RsiWSqXMRKnZbJpfCJkXTGAOAdrsmPTw+T3PU6FQsGyTTPuhr7cms0CNyEOQZEpCzGSwlXP74DwkFhCDhl69emXmNDwManweCicc6SMtNoIQ/o+kwKT4hULBWo2FQsHISsyCoFSgNMDYRpLVuBCi6Exst1vDU9AaQP4aDAb3ugMERzgQi8XCSiywE9io3W5X5+fnBubi4YiGBd0G9OdcLqeTkxOVEwkl53Nd5/MqlMsmtvqzf+EvKPen/pS+clfG7e/vKyfpK4mERl/+sn7k3/l39K/9lb+iox/6IZ0dHqoxneqo31fw7nREVu56fkQiET19+tS6SUyfd93GKQ/ccYVYBRJYID/RZqYEcUFkMhzKOgIyoxcJ4LSiXas/SG6UEG6Wy7NyrRevrq6MhcuQJ7ptfC6CAvwMV++C0I4OCP/GQfbQ11sTLCDqoPFwxxgiHAPwwU4etJ3WJCeWJFOJSrLTx1UW0motFou2KGij0YUAjJJkUmYITixW5M1sfk4IHia/M3s3Qcsljl1dXVnpAQ5BFjIej+/NvoQ5eHh4aExFSRa0+v2+Go2GybshWVEaNZtNa/3BS6G8+/DDDzUYDOzeTCYTnUha1Wqq1mr3vBMSiYRWoZDG87nyoZAuLi6UOz/X16NRPf/CF/TVr35V1WpVuVxOf/pP/2mFnj1T2POUuXuOJycn5sbFe6/Vanr9+rUFE0BPgGo2OaUewQPcBUCQrgKZAW1qShQwLuQDX/nKV4wdDLgLGTB7Ny+FIMKGdf1FIYIBuPIel8vd+AWAb7JkuCJQ3ulUgWkgA0DbhCVirVbT9fW1lc4cJg99vTXBghOFOh/ZNWUG7E1QfgYFHx4eGpXZFfiMx2OTnbsnGWkzVmyr1c5FeX9/31pu2NDTc4e26w7FTSQSevLkiQUxyhJ0AZz0sCZZJHRfQMDBD1gwZDosHtJVQL16vW7lD/eKzIvZIqlUyiTdxWLxXru01WoZSExdvr+/b+ktWcpqPFY0m9WXvvQlo1XDB2k2m1r4voKbjQ729uRFIurcka+KxaJ9fmr6q3BYpTuiFhodAhNq4Hw+r2azqUQioXfffdfWAmArcnHq9VwuZ4AyrWm6JnRy0MdwckciESsrXWUololICMB5MJpxfUJdzAmwGrIdmVkkEjECXK1WM+MdxiBweIDXXF9fm7zh5cuXajQa95y+WcfwUtzD6CGvtyJYwA50naSg2HI6lO9SYdyKyuWyGo2GPvroI6NZz2YztdttS/PYIAB7AJWTycTApWg0aic82ATsTzYV4ixIVOAnYAuAW5KMXASAiHeBJGOIssHpvCBjb7VaFqAqlYpZrXGiYKFH8AGspPQCqAQxr9VqarVa5qyFHyVq01KppJNiUV/ebPRj4bD+J0dHSt9hMr1wWOG7DIVgIe02yOHBgbLBoJqzmbrX10rdBWi8L7hody+jUSXvPEHIFmFGplIpvXz50gItNoT8G4cFJQKZEWUi9551EQgE9OTJE4VCIcNv2Mh0IxaLha6vr3V9fa12u22BmnscDoftcyAgY/1QRvL9lDSf/DvDlaGaowdBK0Qnbjqd6tGjR5bB4MtRq9Xu6UmwPASD+SyutyJYoMT0PM+EWtPp1G4WHQrAS+pPbqJr089Nxe8AJyL4DABGbFC+h/JiPB5LknVN+F1kFaT3BBe+Dw5IJpOxupmTALo5xDBUqpwuLGTAL7gFjA9wZei1Ws26J3RQaEO6lONer6erqyvDJyRZmQQpLd3t6r3FQj/8F/+ifvhv/A1VvvpVPfd9vbPZqBeNat1s6uX771udLO0CgF+vq+P7ev6lL2kbj6t9J3ji83LV6/Vd0L691e0d3d2dn4I/RDwe1/7+vrLZrIGPtBAlWeqN/B+WLqAypDEs+FyTnXg8bkxanidtakl2gASDQfPKBLSE60ApTIAnIyLj4/OAh6TTaeNNcNhhhed6ijIbBYcsNCIcejCYkQrABv2s6BBvRTek3W7r+PjYNhJp4cHBgSkgEWvhWQA3gHqfhz4ajQztB/GnZqRLEI/HzUAFngbUZhy4l8ultSvpr1NP0oYDt5B2Zrgu1TmRSKher+vRo0dqt9smwtrb21O9XrdMwi2N4Axk72aVUNsTPHk/tA2ZcwLBDDJZOp3Wu+++q16vZ/fOtcfL5/NadTrKbjZK/diP6as/8RPyPE+VR4/0frOpzd/7eyrv7en2yRMVvv51/aO/+Td1+P3fr2I2q86v/Zq8y0tdZ7Nat1pSIqH4cqnbOy0IZQIM0OViocfrtX47FNLo5kbb7VZf+tKXdHl5afwStDoAw4iyRqORsXYBqF1Gba/XM+EZnZXhcGh2d67XCKI0ulVkD3Q8kKYT5CkX4GAw1JjSFbsDlLdgW7RiyWDIRjOZjGVTo9FI1WpVg8HAXkuS2QbQzgfgj0Qi1oHj759FGfJWBAtJhmYXCgWdn5/bxkfyC6MRII4ZHIBdnKgg0a4XBFEbWjMEF4BR5lyw0QACh8Oh2bHRUmOhrddr66y4nAZJJhB6/PixYQBkM66itt/vq1arGb7AiddqtVQoFGwzgMK7zlHU6GwwCDtkYgi4WKyUKaHQbiTf/mCg+tGRFncnXz6fV7FY1I/8yI/o1W//tiovX+qqWtVZrabf/m//W/3Rr39di81G/9+bGy1LJYUjEa3u1MCXxaKOT091cbcRzs/PVSwWlU6l9BPvvKPfnM93IsBgUI83Gz1ZLJQsFvXRnUEOKD+elOPx2DYrQ4PxNkHPAR18s9kNhzo/P1en07HOBriD6xVK1koJMBgMdHR0ZM8G4xzWBYQp5rKSlXJfGfjEa7Pp5/M3k+goUz3Ps44Tzx4WaSQSsVKTAAFdn9+D5V673VapVPpM9uBbEyxcByzSPlBfWqosFoA29BJsHldMBVeCFLxUKhlBik4LlGAWHiQcMhHKG3QJrVbLxtfxPgg2T58+tS4KmcDp6amKxaK5euVyOft8EMHIRvCUIMNBos4JxsAcuj9uicQ9wMMTyTTWcrlcztq7nEoZSaFHj6y7Iu1ITC9fvtRC0vL2VpeXl9pst8rWavrFUEjj2UwqFDS940IUi0Wl02nd3NxoWyqp+iu/ov/o3/639eiP/TH16nUtr670jdFIV+GwnobDeuJ5+jP/7r+roydPNP/wQ/39//w/18/3+/Lv8CXa2QQ1cCfGFIKd9Pt9wy5Cod3Ur1gsZoOrCY5sVnQUBGBUqvi+4kSGbojyB3AaTo7rVQogj3CNbIcOSrvdNgkBBwEUebp9rvEO7dhQKKRer3evbHal7oyUBOR+yOutCRaS7GajdKTtiAEu/IdAIGAcCTYmyDY1JIpQbNI4aeD4r1Yrlctl4/KT3mcyGXPNYjHgVsT7QlEJTgDuwAN2uye+7+vw8NCGLn/wwQeWoaAhQe7NacfpRjsP0hdtRHQLlGNY4OXzeZP4ExTwe8CPg0WczGa1lAwclGTg23g4VDWwG8gznc3U6XSs7g8EAnoUCOh4vVbxjgSlUEizVErDr3xFi8VCr3/hFzRarbTIZtUNBPQonVZtPlfyT/9pfeFHf3T33Pb3Vf7615X7x/9Y7buuEJ0rug60yiGKUc/Dv3D5LnQ9oOzTMsarNBAIqNFoWHfI8zy1Wi31+33L/sg6yERKpZKurq6MAEiQZpgSBxy+HGQPy+VSBwcHNigI/A0vjVqtZuVTp9MxLEuSfTY30NVqNQWDQQNJP6vrrQkWbAJaWJ1OR7FYzIIGIB6nc7FYlCRbHOv12vwgcSNiI4HS8710PLrd7j07MxYKZitoBOhqUDu6tm0EEoYQRaNR28yUBdi6ESigJTNOANu2SCSiSqVibTQwF6Z90wJdr3eDlhE/AZxxMjNeEXXky5cvTSUZiUSUTqfV8jwd3aXZdHIIuseRiEbxuIZ3DEgMfCPhsGo3Nzp69kw//lM/pb1yWZvRSL/4t/+23j8702/emSpvHj1SYLlUeL1WaDpV8KOP9PLZMx3etcM9z9NgONT7t7c63Gw0vONH8D4kGUAJyCfJMjWIU7Q5abPDtYB9SbeLjBG7AXAChFsIvzhEsndT0gDUIV+R2dJ5IUhDU2e9UkYAktLFajabOjo6svVNMAeHwKMVzAYW6mw2U6/XM9yEoPjQ11vRDeGi5mdDc8OJtNls1tJt7OjwKjg4ODBLuclkomazaTNAILkEAgFDlSG9oODEa5KhtSgVGQTkmsSQxUDSISAgTnM1J+Fw2HAPkG30CxjT4CcBP6DT6WgwGJhjFicaGwRgjI4QsmrqedJmFhSfk5ZqKBTS+7OZGr/1Wxq9/765g3mSZq9fK3p5qZd3gZsANBqNVJnNtIpEFP4jf0SP3ntP+wcHCuzt6apc1m2rpdpdycDQYFirxVRKsWxW7733npUEvV5PXiik5B07Ft8KOi+wMSn30E6gFcneTRwj+4KvAn0a0BOF73q91v7+vg4PDw3cBqui1AVMb7VaRh2HE0OZcHV1ZS1vKN3gUGQzlMkuZZ/sBUsB3/dtJis0f7QkZHt4iGy3W+OvrNdrm9P60Nenziy83aChX5V07fv+n/U877Gkf6CdWe+vSfqf+76/9DwvKunvSvpj2o0A+Nd833/97bzJUqlkURiiElJnTkSXiktrKxgMmkdDp9MxPAL3JvrfKAxdaTmngCQDnEqlkk33IpOB5oxmAepwp9PR/v6+LSx0A4i8cF2iTCL9hDLOYkPyzQIm/UT34Z6OEIMAfPHjnM/nttAw+5Xe+HnS3mXzD4dD5QsFnS0W+m/+3t9T5xd/UeFYTLejka7rdZ0Wi0repb3MZink80rNZup8z/fY54vH4yqXyyqVy3pxeKjc+bk+jsdVrVZVq9X0jW98Q9vtVq8XCz1xMiVphzs0X71St9NR8o7tuFgsrGXMc6FcK5fLarVadtqDBcC6pDR0AWBaq7RUyfaQnaMeBR/j/cHQjEQi1tbEV4XMF60InSk2MWUwgQvJ+97enilqWQvICL70pS/p4uLCspiLiws9ffrUnjNrE3o/LdqHvr6VzOJ/qd0IAK7v2KxTHiz8BbAIBszc3t7aA3A9E11aL0DRYDCwWhIpOvz7p0+fGgAJ2ScajVr7kRSerME1ZSFDQVyWTqdNiIRGod1uKxx+M9AXFiNGMNStkiz9n0wmZovHonMnjnMC0kkBAJRkOpnxeGw2e/T3f+zHfkzvvfeeOabTsut0OhYw5+u1XieT+ke3t/o7L1/qv+j19C9CIX14emq1ejAY1MHBwY40JGlwe6t3333XCGudTkff+MY3NAsEtHdHKup2u3r9+rWd/uNKRcnBQKPLyzf+nNOp/vuFgr7w5/+8ZUT4ZjJuENYlZjlklbRle72eEomEDQs+Pz83sDKbzdopDtcCrIAAzCFAZoBhElkCbWDIfc1m0zCJvb09k9w3m00DNskWwbvY2DxfODX1et0Id2dnZ/e8UdzDiQzVne2C0PKhr087vvBQ0v9I0v9BO/t/T7tZp//G3bf8HUn/nqT/ULtZp//e3df/oaT/wPM8z/828qJOp6Nnz56pXq+bqhNQCwDJFRPB4MOzARn6crm0thK1JWYi2+3Wht6iZl0sFqbFQGvAJqddSslAibG/v6+bmxuTrrteljD4sD3b29uz3j80cP4tGo2q0+no+PjYuAF0RZLJ5D3j2eFwqEwmo8FgYK1SeCak7YiYMAv6lV/5FXtfbA6CRLvd1uPHj7XZbHRzc6NgMKinT5/u2JqBgE5OTqy9WK1WzWV6K2l21x0AFO31ejtJ/nAo/45Jy9e517VaTeujI33jH/wDrX/5l7WXyejD3/gNfRyL6XWjoWfPnuni4uKeAxk4gcusdL0puDfL5VLlclnpdNoGVON0TtnCCX92dmb0coK3u55g7dIKJ7gvFgsz6AUn4f4wqrFYLGo4HKpWqymbzerq6srUwIFAwNrTtFhp0bsu7IDPvDZuYJC8KF0xb3ro69NmFv8XSf8bSUwuKehTzjqVxKzTe5fneT/ped6vep73q5/GXNTzPB0eHpqvI7NBEDEFAgF1u13DA0jnAoGAFouFGblAnMrlcvfs4wEC0UJst1vVajWVy2WdnJxYWs9DQvZM0ACA6/V6RoDidA2FQnZiX15eWnZEQDo+PjbMQ5IpSReLhc2xdKXT9NRByOkCkFVhnoJTOUNrsPEn20BB6/oikGXQQeB9MeiJ1BcV7MXFhY6Pj1UulzUrFPQoEDARFOI8STqYz3V6lxkhlyc7G41G+vmvfU1fj8X08+u1vhYI6L8aDvX+nbgNsG+5XJoy1uWNcBpTgtEW5b90NWDgEngoEekygSEBgLrKYjYx80JYcy61Hhd0OiEEF8yGIcCxoSlnyEQ6nY6B8CiiWROwXxFIwj49ODi4V9ZihvNZXN80s/A8789Kavm+/2ue5/3Jh/rFvu//tKSflnZOWd/s+zlFwBPYFJykAIiQYFz3Z8Ak15OCgUBoFlj84XDY6lA4DqR/s9nMTFjZTO5Jye+k83H3ORUMBlWr1dTr9awMYPGjpGVhc2KCQwC+5nI5XV1dqVKp6OzsTIVCwfQJ+EDgnEU6y2kDOYvA+uTJE1vA9OYXi4UODw/V6XSsBAPbSKVSprSkpAIn4vRMpVJ6FQzqB4NBhS4v9ff/k/9E2WJRk8FAXwmHdZPNapLLKX9HoSfjCIfDxmu5rtflS/r6b/+25Hka3BHuJBlzlu5HKpUy8RzDlvGnQA3Mhs3lcpLetB2Pj4/tuVGaggW57uHgDTxXJomReQGSs67AvrBodEsnylQOGrxZcOeGGQq+4rJcJd2TAfCcWdvgK3Awnj17Zj/3kNenKUP+hKT/sed5f0ZSTNKepL+pB5x1+mkuqhiXlMJDLZfL9kDoTQP4AATCwAOwAjGHnUeNx6kBIo1GgBoRLIRN5tq6QasmmHFCwdeH8gswChvRlVgDDJLBSLKZmrh5MUOUzdvtdo2gxWvz/jkdSaNJZ4PBnYU+w4CKxaJNOqczAg/h+fPnWq1Wajab1hHgvboGQl4opH8RjWryta8p2e+ruVppGwzqKhZTL5XS6s5hG9k3nRS39YjAilMeYJfNj4iOEpEMho1OaUpmB7P15uZGtVrN3OE52SkXyZhQqbIOwCV4P41GY7fIr6+NIeza9QUCAXNbl2TCREBpl0NDhgzOhJIW9zBeg8MFgJog4uJu6IbQPbm2AQ91fdNX9H3/r/u+f+j7/omkf1272aX/Mz3wrNNvdrGpaVsCbg0GA11fXxuzEV7EYrHQ1dWVZRIgy+ALBBbXnZoSxrWob7Va9/rdOIJzKuCsBY08Gt3NJ2UKGkQZNjL1tSvBJi1HeFSr1SxFpWxAH0LWANkIy323ZQjDEUYhn9+dfkUrEK0B3QMCMO8rHo/r8vLS1JSAa5Q3ZDVQpXuDgV4EAvrvNhv9k2BQP7Pdqh4Oq3tXnnG/PW9nUoubNwEWtyh8JzmJwaNgxeI30mq1jEXJ7FAAcJ4r7lkMAoJjQl1PO5lnSTkLDkVXjA3KvYzFYuaJQplDGxNQ3SXRSTLhHpsav1UyUNfbk7LTJdYxIJvAxh9KS3gd320S9e/orFNoy9jhN5tNIz0xl5TBNXRD8vm8yZIhrXAaItxiMBG1tQtkRiIRM10FmMQ+HvLTeDy20mK9fjORqt1umwUaPhCkmtPp1Ab5MuKAjYr8XZKZ5dI1gXXJ+6I2TSR207jBZyRZdwRMAm0FJyNkNAhpjUbD6v/r62vd3t7eG22Ad6Rr9kP3AY4HnQPKxcEdiYgFz+f371zMaHNynwAmoWtjhceJTIbY7XaNJYkcmyBIB4wgQUeCz8FnYDgSeA+pfDKZNBAZohtWimBHaD9oZcOzIPuBIVwsFi0L4tlA8kLGji0i5QQMX7AWF3D3fd9mvXKQUU6hqqblShv1Ia9vKVj4vv/zvu//2bv/P/V9/wd833/m+/7/1Pf9xd3X53d/f3b376ff7pssl8vK3g02JuWKxWL2QOBLMB5uuVyaszRsSTIOkGKG3vAQIGT1ej01m00zm6V8YZGjMYGxichpvV7bQGB+nyQ7SSGSsdBos9ISg6xD1sN7gcqNInZwl8p3u11jCrroP4GJDUoAA4iDCcv9BDDjpCUzgboO2Q06N3MxXCk2nBBGMlKySTIJNic36TVsSrwyme5GAESfsd2+GUGJnwj1P7gOWAY/B8hIFkaZymZmk9Jyx0ENbQaWB3SnCCIcTqw3SFSomzlQkMWD6UgysSLUbbo2HCLwbWiXk+Xys9KbrIT7ToZHy/uTJkwPfb0VdG+8KCkD2u22PM+zltJisbChQgB8l5eXNv2LUwKQyLVvp/UFj2N/f98YkiwCggSnJjZsBCAWSLvdtoAxm81ULBbNaQu2KTU0r1Or1WzmBjwKgEUX1CPwcUrStuU9gdjTDqUzUi6XrX3X7/dNqCTJCEjX19f28/gzAIhSamAsdHMnI+fewTkJhULmJtZoNKxdyDPj97HJXEp8PB43QtyTJ090fX2tm5sbw0aYZEYZdHR0ZECnS+TiOXBYQFKjlGRtYDJzeHhoeAKbkHsIBkCm9urVK8vgyHJ4VviZuKIwt4VKNoLlwWKxMLyJNcsh57J46W4gJ6A84/lAUHRl6pTIiMse8norgkW329VyubRFT33sDlKJRqOm6XdbamhHOGmpeQHvcFiGskzKz0akfx6N7uamulqU1WplM0wpEdjUcBw4gcleyCIggvV6PTsFKGVIPXkPbhsW7ANVLadsrVbT5eWldVRcnoXneep0OtZ6xFuDz0kwJECwofG/AFnn9wWDQSuDSM25H3gx0AIEb+A0JeizEeky0VmgAwE2ACX6gw8+0Gg0spEQSNIh1YVCoXtzPt3DhPSe073Vall26mpsKA3oRvDs6b6EQiGdnp6aNeHZ2Zl1csh6wDjK5bLNNeWZVatVXVxcGPgIxoaEnYMFfOXo6MgA8L29PZsRiwk0eBQZB2VTo9G4ZzL0UNdbow0B/YcKLckINaTFrkGMtAOd2u22tRipL91J49ls1lpnAF7uKYPT1HA4vNfDJo3l5CWdXSwWpj+hrqV9SenjDiUC6OO0KpfLZooCm5EOBvVsNBrV8+fPrd5Fnk46/cnXR+8ByNZoNKz9idsW3RJ+hhMRwhbMVkhp2OnRXQA4hBlZLBZVq9XMeIg5o5ysdK9oedPBgVwF05UuDAcDgU2SEagwuoX4NhgMrLVKGxrXNAIQVnbQ4Tlg+LwA4uhHJFkHg4NGkgVrV2IQDofV6/VsfcApQVlM+ceB9knn92QyqXw+b8OVi8WiZX3gSGRKdObIFl0HsYe+3qpggQMzbs0sMpBorMn4eqVSMfOUfr+vXq9nG4A24nA4VKFQsABEDc0iwf+AjUQ7NZ/PK5/PW+mAyar0JkPAkBUNC+g+2QbUYvwoqIE55SmfIBrFYjGz9aPFyWag5eieKJRRrVbL6MecauE7JScKSz7X3t7evY2H/yST0cPhsPEU+v3+PeNjanRS5dlsZtyVQqFg+gc3cJD1cUKORiNdXV1Z5nB1daVGo2HPlVqfViM4D7wRDgps8pPJpLmYU26QBUGzp+VNi5lNjxMZG9Ite5D2s/F7vZ4F4UgkYhgPnRikCKhOMfN1maBkQDi6wz6Fpk+XRZKJBMleuPeUJH9oMQtJdhpR57FRGSEYCASMmtxsNk2DAEmGRcWmY4H5vm8eFjgfAWwhICPN4yGy+Vlskuy90JlhMUJRp7XqAnMEGkBDWoCcnHAH4ERst1tVq1V1u131+30Ds0jvWTCk/5RBtF75GpkMKTvAJUHOpZLTribYJpNJm5UhyUqler1uvgp0Q9rttgqFggKBgLEwA4GA9vf3TbDGZgTMJDsiQ6LrwnMkiyOIuW1EOkmAzC6dOh6PW0eHNrQLQNKdwX0KxyoMk+lWuZZ74F4onymxeO98ndcjC3U9KSjPJNkhRUaZTCYNI+Jzw/Ykq2Bf4NcBX8c1Rn6o67smszioVZRMZ1UtF+y/iXTW/t2/kyFLu3YjxCGIMghvIC95d+YnWK+D2APIcSrA/x8Oh+ZlMBwOrRXIhkIj4hrGbjYbSxVJ80nJeW94FeB+ROfCbaNxGoAxoHUBFWdDSzujYNyQ3BOJ7g3mQGzaVCpl9wrCEa01DGNYxMj5ud/lclmr1Ur1et0Yh+AZdIJY8I8fP7bhxIw8BA85OzvTdDq116hWq0YcQq9CN4qsBiwJgNEd8kP7lmAMEU16M5IQJidgLxuXzIouDbNeCPwArfhCAHaDO0HhBieRZN0e/EHYrC6gTZBwsznKrUgkooODA+NGAG76vm+YlpulAGLyzKrVqmWp/J7PgpT1XZNZZNNxvfPul+TLVzQU1GKz1Wy10S//4j+TJAMu8VBkLEAoFFKtVtNms7E2aT6ftx47NOBwOGwuQkwLJ2LjRsQpk8vlNB6PbeNggoMGgaxDklHH6YzQvqWcgVtASUMqTFeG079UKtmJwqmP2Qs4DJ8D0hRYDa7XmNMA5iFQoquCJoXPWyqVbIwihDVOVzIuukhkJO5GALx78uSJrq6uDPuhbZ3L5cyMGJIY3IDRaGQtWTY8nQFJptUAT4FODdsWQBmq/ng8VvZuotfNzY1hGaiAyRzZTJ1OR/l83jpPlB/VatX0GgQE2p1Y5PX7ffO54HspiwnSx8fHpu+BrEXWBOP08vLSguD19bVhJ4jIFouFBQF4ILjFAdz6vm/cIhfcJ5A95PVdkVl4kh4/eaxOt69AQNr6vgKeJ9+X8oW8Hj16ZEQoUmkWEWk7nQok2+48h3g8bvXwYDAwBSAAJK9FtCaFOz8/l+d5evr0qTlvgfyH7oxcoAVj+Qa+Ie2CEi7UTNNGkARGst1ulclkdHFxYeUAHh1sFkqCarVqepRWq6VoNGrvGbEcJxb4QzabNXUlpc/+/r7pQRjMgwiK8oF0NxKJKBaLGdWc1iFfZ6G7il+XZ5FIJOwzI4LbbDb64he/qGw2a8EDdSWnL0AqACFsSEn2ed3uFF0cOh3gUtxTOkiUn7lczp49m16S1f/4n9I9knZ8HzIHMkjamAQUMhm3O8F7w2sFAhnZGZ0q+CZ0m1Ai8ztgpSYSCVPQsnZRn0qyzOihr++KzMKX9Gtff1/TxUY312e6nW+UigV0O98qGn5zo6ndSS/deRiPHj1St9u1uu3p06fWM3dly7h007ZaLndGuVCFUap6nmdkHoA6TgYWMN/P/FUyAvr8LApJlhZT14IRcCrSQnOBqeFwqFKpdK9bgVnN0dHRPWfuTqejSqVi34MgDtUoAGQ0GrUOEdwUAMdsNqtisajT01PL2qDZ0yWgFsfcFnIadoV0U6Cq41vqmszShgb0DYV2prrU4rTHCUb4Y5LphUKhe3b+4B2RSETVatWyAsotgg7PIp/Py/d9AwjBRVxMBwCRgFosFnV1dXUvu+QAIGvyfd+6bBCz3CnxaJXoLHGRHUHYI7NrtVr3PFsAXemQ4TULfjMYDHR4eGh4xkNf3xWZhSTdNFoa9rvq9AaaT8fq9IaaT8caDodmIuNah+Fp4Lb+qP/YPGAAMCfdlhLOUVyclgBM1MzM4wCTYBNwEgC0gi2wMAlalBswJQkg1MuuKxfuSfxugg9gnFuKUW7A6yAj4f5A6waIXK1WJkiLxWKWbrP5mb8RjUb1zjvv2IbivXJ60ypFZcs4hdFopGazaa1SMjXasAwzRqRFJwRaNpgSaTatY0kGALogrCS7R9C+XY4IHpUAkpQUZCzL5dLAZzonBEWyU0lWfp6fnysajaparRqwCoZDRlWtVlUsFm2toBhGAwLgzuFF9wXjHldGsNlsdHJyor29PZVKJcOPuEe058FKUAa7Pq8PfX3XBItvdsGt73a7BoZxo7BZA/SjRHB7/Jw8iH+2261lFHAv3Bkf/Bybnc3PyDs2Mr1xOgW4MjcaDQMoeU90QzgJMA6mfABEJfiRRRAUUK96nmcmvel02nASuipgHNTHbJBcLmeMQxa5JAP+CMLMjQUUhXFKK4+sDsEVXQqAOYYl0XU5OTm5157ECr/X69l7Ic0mlU6n0yoWi6ZhOTg4MHUoKTYA6cHBgSky2Xh4qVKKwBVpNpuW1fBsGVkgyTpHZEmUsdls1mjW2WzWWtqHh4eSdlocVz6A9ymB7ZMGvnTkXGIW9H8OIwLz2dmZzYCljcrrSzJBIxkN+MyD78EHf8XP6CItc9V0eCI8efLEBs/UajXj2tPLB0kGgafVyCak7OC0c0EuSbq4uLD5p5IsQDFTFQala2jDCYiqku4AJxfkIQYDofwERAOkIrDgfcFgJcYuXlxcWJmBBymcCfw3qGf5nARaamhOUbIStCfU+6vVykDGer1uvX3ET3QMACX5r6u74BlgQHNwcGDzSujYQOum6wCWcnV1pZubG02nUwMS+XySrKx0MQK6XATKTCZjpQLkO8BOhgGRvfF54Vtg3QdxjyCCxqVQKBjIDmjO8wIT4UDL5XIql8u2vnjG0O0pIcGiWLcECUZTcrC5eidcvQlID319V2AWn+ZiM4dCOw9GKK24FeVyOWt5ksoDOLJhAT5dvwcWBD/T7XZNQo2bFgaugIibzcY6JhDFKHWolSkNIIjV63WbswruwUNHwk67CyCXTeP7u6ngCNRcFWwwGLT2LAxVam9KCWnnv0BZRbYRj8eN2EWJhU6GzU1qTCClpKJmxx4QQBQeA3gS7FfqcMhR1O+wYsEOXDs49/PSAYHGToAkW0FURZuaEpAOCmvB1fP4vm9tU0n3sBUX9OZwSaVSNnkMHw4+UzabVbvdtowNchrZjyQT0tFyppuBVWChUDCvTjCKUCik58+f6/b21qbokSGCw9DJY4+gFXro663JLODNUx6wMWKxmFnFgzewgTh5wDFKpZL5crqpqSRbEHw/QBZAFAuOdDIYDForET2JtAPP6DwAcjHvko6JJFMGet7OaQrZNZ0Pak68LyAXUfOyWenOkAZTl7suYe7J6NKl0V1wGnJv8FLgPQAkcmEiDPlosVioVqvp+PjYAD2k+fF43DK1WCxmnSCCBSUfLXA+nyQLQuAKgKnT6dSk2hwYBDZJ9lkJmjxfNjWnMGC2+7sonzjtWUuubUA6nTZJOsGk1+tZlkpJ5WZ84CSsK9cZHq4OQQxpAWUMowpisZhev35tf6dkKpVKxkqFxfuHOljEYjHjFQCIIVCC0ovjN6kdgCjuzgBn8XjcAEVKEVpRtE1ns5n29vbuSbU50bD6B/jEvISSgRKDgILNGm7bnBIAdqgM4ZCsViubYMViRNPAZDHqcXduJ/dGkqHubAYCAuCX282BPLVc7sxzI5GIfR9/qLH7/b4xGlerlelO5vPdIOerqysjE5Gx3NzcGMkMCTmaEFzX4chIMkNal0vDsCYo52QqbFq3o0FLmWCBXgPeC6Y4dGJw3eb9grWQ7aHk5U+327WDBr/NwWBgQjZwJwyJ0AaRFZHFxeNxA0thDbN2yZJZY3ymk5MTbbdbdbtdtdtt8+6U3uAttFQf+noryhB3QZKOk0UA8LVaLRNhQYPl+3K5nOr1uoF/8/lclUrFHhoTtYjovu/r4OBANzc3ymazdjKQmnNSAwyiVoWl6VKNSf1pie7t7dn74LRkg2IGG4/HLXshUKEQhZJOdwGdjCtz9jzPMi7aunBSaNGRnksyLIH/JxiTdUDTJi12RV9uN8YlyLk6DEkW3Mh6SKMlWeCinOD+SrqX+bBBsdRjk3OS8jzRhFCKRKNRDQYDlUolo4SjFqUM4tmyfng9AkO/31ckEjFnLA4CssXpdGozaXjWdNWgqudyOesi8Uw4nHB650AkK0QjEovF9OrVKxtBSeCltALY5f7+oQ0WRHz3ZF6vd2YzkJYikYhNcMI4Brs7FlG32zVzF5Dj7XarRqNhXQ58CCaTifb3963lFYlETPVKikl24qaaoNbI2heLnXs31n8QhPL5vMbjsS1opNeUWd1u18g3mLW4hjssDBSn2LG5NnThcFjNZtPuCcGTBTkYDIz+DVbA93BfAfv4Q7vPNXrBOgA0n1KQzIYykDoeOj6bAh4CICmgIp4PaDBoKaKDcJ23JFkGAiszENhNlet0OqZF4aQmXSeAQcJC6McpLcm4KgCaqVTK7pNL8a/X6zo8PLTnAs+DtjaaHnga/KE0oTwuFoumM4JgNZlMrNOGCpcyhbUgyWT3nwXd+60oQ1CLAl6SetIdyefzOj4+1sHBgdVqpHuDu7GDgJmw4PAYyOVyphDEzQqgDwouugNYjpPJRNfX1xYgMKXpdruWseAKzvsmpSVFxHaPBQu/4OzszLgh1M+1Wk3SbjIbYKskIxDBYg2FQve8KDBrcVtqt7e3pn7FgYxWLMAnXRNJBgTi9UgJRZAgGwPzwSHKNavh/1OplJU+PAPpTWYxn+/mrhwcHNgGddNzWKLgTbiN4fAlyTpBYDZQ0F0TXn7u+vraCH90YvD5ACtxPUHosozHYwt47qhLCHZgSgRbuiTr9dpYoLTAycJcwhX6E2bVQjxcrVamA8FHxGX4kl3C9Xjo663ILCRZ9AdfcOtPWIbw9jlVKVGWy6UODw81n8+NfIOhDNO6CoXdaBNahnQg0JxwsRBooZEdLJdLVSoVdTqde+k+BjIsZhYuwYr6HTHZ4eGhpdrz+dzKJ1h+0ptp5tS8tPH4fQB8AKak/dTJBF9KJxYjZQmZEicnLWrGPtK2dP0f6Axw4lN6QY4CT0HuDl6RyWQMqHXpzfwcvpsu4YwygVObkZKUPnA9IJnxfTwLOiK00WHc4jzFKIhQaDdnBtk5+IKke9PEFouFjZqgHFiv13r8+LGur6+NLEXwAwSmM8a9W61WOjg4sBLPVdaybgBqPc/To0eP9NFHH6lcLmsymahWqxnr87O43ppggVIPt2ROTlyzEPcw1XwymdiJR+osSYeHh2q32ybggghE6s6CwvUokUgYSQkAixkdbpbT6/WslCBtxliFzYKGgE3PyQpJB5COuhOVKAuJz8QCo82G7wI1L2kviyoej9sGp++P+pHsCHNcSjYyFFf+TmYk3R+JQMrtlgWUepzGkkyRSupNm5XTkHJBkgGF7swT7sMnqfMEXkomAjmnOR4h7jxXRGbb7fZe+3y73er4+Nhc4QFI4ZZQRqE8dS9IXtvt1gBeDjLpDRsUiTvlGcEBd3HXA9TVHMViMZteB4YCNwS8Z7PZGHj80NenKkM8z3vted5vep73dc/zfvXua3nP837G87yP7/6bu/u653ne3/I876Xned/wPO+PPsQbRZCFWQoBgFMKNicPi5sFxuAaolYqFbvRAIbSru1Juk46SDmDtoS6/ZM0ZcRWnCxgDNTYqA9JV4fDoZrN5j0/RuTlLA4wDNqZIPGdTsdMdsEpCDIAioFAwAxTCC5gHxCCYGHSSSE4cNrTUcEvk5QbNSTdI5cB2u12rQUNtkKQcD1B2ITSDlT96KOPDGcChwGb4vMROEejkXK53L15GpIMMCSI0coFNMaKwKWxc7q3Wq3fMSqAA4aMDLAbJSvPCyGaSzvnv2SnrCFJxhUCj+LfYPoOBgNdXFzY+xkMBsZvYb3zs3BUeHawlP+gMYsf9n3/+3zf//67v/81ST/r+/5zST+rN5b//6qk53d/flK7+aff9uVapsO+xMWKFBZ1I4OHSGNB+AEar6+vLcq77StJtkhoqSFVTyQSJoEejUbKZDLmXIWfpiQzo8GxCuIMFm+kr9FoVAcHB5buEmAA4CQZEk6g4OQ6Pj6+Z/Ta6XTsHsD7IKsB7CJAQEqDwu62mmFd4s/A++A1OOUwQsatinQck1w2L5mAmz4jigKkBPhkIwKIkm1QmzOugKFPsGl5f5zMlDeSVK/XzT2LMoIgtN1uDSCnzVmpVIzUNZ/PrTMGuEtJgxDQDbDwKyDpwdSUZDJzxlaQEZKJAVTy2XjO8D3wCeHeAYhyIMDDISDjv/HQ17cTfv6cdgORdfffn3C+/nf93fU17SaX1b6N3yNJ92zNAMiGw6HNeCDNp76ezWYGNuEvwcanLMB0lmDy+vVr86ZwNwpp72Qy0eXlpWUZtLvANwaDgTFAmdxFcIDnz8Inje52u4awU/uTtmIiUygUdHp6qna7bbwKanhwBE53AC9wA7AcTjBAPhY6jM1ms2kUY9J7yi64BLQhSbPxyqDskmRmxfy/JMtAsPbL5XKmiSCTgmDlch3wKyV15+fI5tLptJUSbiuXk5fvOTw8VDKZ1P7+vmq1mv0eF/glK+TrWBhQanCwAIASYFwSHm3lQCCger1uNgnc43q9boLCs7MzMx+irHHvNVaPtEcpLWg3o31xW91gQm6H6CGvT4tZ+JL+357n+ZL+b/5uTmnF9/2bu39vSKrc/b8NRr67GJp843xNnuf9pHaZxz257u920WGATcfmjUajlgazyQDAmPNASs3fJRn2kc/nTWk6Ho9VqVRso2DTRrpLj5yTEwUmbTKISzA8IW+5aTTTrlGFgiWArlOrgow3Gg0NBgNLWTHzgS4ORZpWHicVvzObzarf71uZwWIm8yFlJwhzWpHyuvwQt3Pj+75R6KmVAQrRk3AKAmiCM6EOpnMC14HWJhkMXRCyHMo3uihsSvAGGKHcR16LLgijEyjXeL4wgXu9nvEm2Gy0dpHmLxYLGxqNhyrZLOUfQQtiF3oNsBEyA3cOC9kpOFwsFjN9DYcAmAzBlAAlybCM8XhsbFnwsIe8Pm1m8UO+7/9R7UqMn/I873/g/qO/C2PfUijzff+nfd//ft/3v/+btXlIVdHvs2Cgt7LYWcxkFCxwHgApJDZrnLqSDJ2m/Yh9HS215XKpdDqtJ0+eWFcGXQqDhABI2cSuHySA5Waz0evXry0tLpVKZoZLzxweACIwFnSn07F0nFKItJPTHGAPSjH3AZ6A7+88FxA2ERzwp+R0psyhROBEZz4G7WBUp5CYJNmgnkwmY5gPwYP0nQ4IbuCAofg3AAJzPxuNhmVcZEf9fl97e3sGanPfaGVy8kKCImME7yLzoeQCdHUFf27rEuIYbVP4MGRYtGvJslyAmM8KdwbWMWUPVgs8f9qy3p1oLhAI2PdQ0pDVrNdr7e/v21qCxPjQ16cKFr7vX9/9tyXpv5T0A5KalBd3/23dfTuDkbncocm/rwvqM20/ggH0aFJnKLyuj8KrV6+sjQjm4Z4u4XDYkGXXHg3+Ao7K1NI4O7mOUe4GJV38JJmLy516xWeLx+OmqnSZiIxGBDyD8s6mcIMbDtuuAhGAVpJxKyBPuWYtiM4w0HUJU2gkwuGd3b07iIgTjr+7RjipVMpalGQfSPRpmSJ1pyMjyXxQ3UHUOHaBySDfXq/XRj8nY5JkXRAwCDpm19fXhn2R0ZCtoVyVZOsEHCeZTJp+g7YoHSgIb3xO6OkA8QToXC5nPhZwVQg0rg0ezw0gFUo5TFOCDwcaQYhnzQH6B6IN8Twv6Xlemv+X9GOSfkv3ByB/cjDyv3nXFfnjkoZOufL7vlgAWMWxaFj8tCXhQHCKQ5Gm7uVm0mMHvCqVStYHn06narfburm5MfLUYDCwFhyaBFcPQvBgUcDP4PdtNhubGOWm4pROnOySrHRA4cppwuYE33Ct5N1FxmfnfiyXSw0GA8MA8I/E/YvgBmnKpZrDp3C1EqFQyHAQ3iMgMCS0wWCgm5vdY+dz4jNCZnFzc2NAMcAgTEhOdez/QP3ZCAQQ/p376wLF0Nh537ikjcdjKyPZZOVy2boJ2Au6mhkAa0YbwH2Bbp9KpYwAiMcoWZtrggN4TtbBvaJ8petEiQh3hPdBNwTMAv5Kq9VSo9GwrtFnESw+Ta5SkfRf3kX+kKS/5/v+/8vzvF+R9J95nveXJZ1L+gt33/+PJf0ZSS8lTSX9Ww/xRmlzEtHRGtTrdcMsuPmIr9yakc1FMKAL0ul0tLe3p2azaRgDXAWYnAiO3ADAabbdbnVwcGBiHoxo4GKABeTzed3e3hplnQULWAopzPM8PX782E5/F4TkHtAdQRdAvQzwls1mLTCC72Dust1uzaeSgEfAIDDRonR9NSirKInS6bR6d5PRDw4O7gVBFLF0jgim7jwV/DRhfLKZSe+xHKQbBJ/DfZ/wSdwSEtk63BWwF9/3ValUDDcBUyLw8ZrcGwJhLpezcgCfErIMDiNGTKILImPiffPztEXBTggCcGeg5JNB0b7OZrM2zJvPByCNNIHsGrD3s+iGfNNg4e8GG3/ld/l6V9KP/i5f9yX91IO8O+ei1w2gx+bETp/UjygOxnF1dWVmuyxATp3tdmsjARDjUM48ffrUyhI8L5koRoo6n89Vq9XsRKIkOjs7M5EXvXp3wbiGNK7/RqPRsNqZVPzo6MjeL9/LYohEdrMusPCH+bnZbMzNCd4HwUuSzWAFI5FkJz+tV7AcvBsA6SBKASKTSYAbAThSylBusbEhHqFHYZOTAbpGuAyFPj8/v+e3CSMSvgSnKa9fq9X08uVL27AEI2z1WSODwUAHBwfWOSsUCvdAVElWdkEGxGeCoO2yQ+lE3N7eGg+F7IN1wDrtdDqGZ1HWwqcgmJTLZfOeJfDyXFKplAkd6Si5OpPPwlbvrWFwstHdgS2c4pIsHYbeTHSW3jAl6YpAmIJBuNlsbNYp4BHgFcGl3W7b68NW9DzPSgvf3zkUNZtNFQoFZTIZvXr1ytqDUIrBMUCyOY3JYkjlwTLQjdAlgMHHz9AJgWSGoTFqTDYYmQatONqGfD+La7lcGrmNEx6shpYmG9OlUlNCcSLTASLD4PfBniQw0+4l/acEIlCQepPFkY5zIEC0o30IhsJzpNSktUm2BF8EIJXWIwGPZ5NKpawrBkEOkJT2NBkEmSAlEVkfgaBYLFqXhUljlI20ssneyAppkVNaUwaCl5AdunwcBlo99PVWCMm4oP2irERs454cg8HAAgdyXjCHxWKher1+T3vhgoDh8G4kHah1uVw28hGbnRObYASWQLsTd61Go6H9/X3j6ff7fXU6HcuMyCaYehUOhw3FpkVHug5CD3i7WCyMep1Op+/pTgAo3cnt4BBsPlfgRhkAscz3fSuJCDDz+dxafYCT4XDYfEcJKJRo3BOYjMwdhXRFYKR0QcQGEQkiHQxWSkZJNhKA18/n88rlcjaikEDLvXXJTZQx3W7XNj9BCzJdJpOxcqhSqdjPYmEA4xcrQUhTZFTxeNw8NyiZAYv5GYSCBC46egSayWRiQZxWNWWri0ExjArwmwNvcDcj9sH334O/4mdwVatVq/+J9IVCQZPJxEQ0nNb7+/tqtVoKh8O6vr5WoVCQ53kqlUoGBAJMklWwSEj/2UT03KXdicnret6bkXtQr12REj/nuneTxVDuwO0gC2m1Wvdo1JCL6KFTG4MJUOO2221JMro7i5aUGHwBo+PZbGa+n2Qx7XbbAhXt0HA4bLgM6DvsVtiTbpvQtYrj/ZBFUC6R9cFHwcuUjUygoawAIMSpHAYk4KDbPiaw4SHBfaPuJwPKZDLWkXDVoAwdQtS3Wq10eXlp2R3rDrMlsiCySjYxf+bzuY2+7HQ6xkblcLu8vLS1xhomMCBII/OBAs/zojRqNpsWVCgL4SJ9FqSstyKzoA4nVaYWJ4MA+a9UKvf4DMFgUFdXV1YX0gLkwfLg4Bzc3t6aixLELBa/S7LBNp8NBf+AE5UF47ZBGaYMLRsRGpuVExddhOvfCF36+vraWpB8PrCL5XJpehWXGEW7lJ682zoFaymXy9ZClXaWAP1+394Lr0tLmmBCu5WNTnBJp9Mql8umx4GDAhGs3+8bQYkgz33GWJhATraEfZ7bMnbTcjYM2hfAZDANl3oN+Y42Or+H5yvJniElDD6rnucZ9lGr1VQsFi0IQsmn4wRITOBqNptWjgHAglEQKHzfN/HhaDQyfxDKFiazI1Mnu4MCwB75QxsskJ37/ptRbfDw3VQOkRPDeNmY0u7kY/YpDwNyDZEc/IOU2VVGctIHg0Hd3NyYPqNWqxnNm+8lGBEkXLm3SzCbzWZGB4bpGAjsPBXhHoA3uJoJFjfeFDhzuTUxBKHJZKJWq2X3A6wF/IKOhsuvIJiBKcC1QLfCfFRqeoI27cV+v6+Liwuz/aPsw+eT4BcMBs0/lVIOohzvk/9KMn0OWIRrxYenA2Ir+A9kVrQYIdlx0YYlQ+FQIrC6RC1UxWSOtIFdxe52u7XSC7KYS53n99A+XiwWurq6snmo8HIIoqFQSIeHhxY4OAwgFVKiuff6s3L3fiuChSSbxVkoFO4JpCgnpN24QAg2nHakrdPp1AazsHmwWHP1ASDf9LJLpZL17yHfSLrnq5DJZIza7Po2uOQvfBJgFUoy1SfMTNpuGO8C8sFUhFXI6UFblrIErQHAIsQr6lqX8g0Q6DJIEUixQcFb2JhsJDI3t0NDik5AOD4+1nK5NKMcmLVkgmzog4MDa3VzXwAnCZBsNjahm1Gg86B9mkqljOotyYRybusRvIN2sOd5liHhn8Ef7p2rCqYLAhOTsoMZsND9kdyTYdLe3Gw2xuAkQGDUA2gKwRB8Dm8NtFA8a2bgsGbB7z6L663ALCTZg6F+ph/N8F7AtEQiYXNASWFhFbokJU4MUk9INBj3ugQghgFRduBlAHeCRUIqjW4AWTpgHoBro9GwlJnSBeEUSD1gKO1WNgMpMWbCgKUwT/m8pMCSbBOSEkMMAtFHkMbG4nvRf1Bfc9Jxr9zg5LZb4/G4dZLoTLizYsmucMR2Oytuy5IuAxT5cDisarVqUm6+H3EWJreBQMBEYOAjEPdGo5GNhaSjcnl5ae/P1d7wXFln5XLZsCbat7Bew+HdAKpgMGhu7gjfyJzApGj/8vnT6bRev36tXC53b02TbbrzYCmByLbogPG6rpjuoa+3JrOYz+d6//33rc6Nx+M2tYr6FnAMezQWO4sCtiNWb2Qdo9HIMgOAJYhOpJpsSnCFzWZj/gXuJkFkFYvtRgSCOVBzE1CgQ7PoJdkkdfgMtApdk1nqdi5EU91u956ytNvt2veRjlNewdOAh8AGbbVadvpPp1MLCox65B6Wy2U76WErBoNBW9RXV1c29QuqOvfXpViD/0SjUfMu3W631sImiCLkI5BTzsHvIP0nEOBDWSgUbCYLn5FyFLIWalZJxmQl0NCC51lJb8odQEdwimAwaFIEum8MZeK1yYTIasFTCMwEHYDM6XRqJDHupVs64/xGB4Ssgoz0oa+3JliQOZAqs6kAJKnl5/O5eTjCNmQxkIqiK6BrQC1JusrDc81lYdxJbyZtU6tix8bDbLV2MhnantCOm82mcRegSMPIA7ijPqac4dSllkerAKDJSQiAR02dy+XuAYxsWoBNugHI6aGq070gw2FDMWPE930zZiHbkGSnICdlrVYz0K9UKlkKzryPwWCgRqNh6T+u4DxXAGZJRr8mE3NdrQgEwWBQjx49Mn4IStPxeGyMS7IO7nEmk7knDHP1RhwkvV5PNzc3Vnr0+30jiAEgc6IzKgAauiTDKsAZyCppZYOHgYm0221rLVP6/f/aO7PYyLPrvH+3Vi7FqmLtC8lmz0xr5JHtkWUFkpcEiWUn3mDkQRBsBAiSGHCAOIYNBEjs5D1QXuIoQBDEseEnI3bsLEKU2EaiOHYERBOPJVmOZ+3phWvtVSySRbLI4j8PVb/Tt9qShz1iN8lRXaAxw/2/3HuW73znO0RwOBXeEc+dtvZarWaSiU8D4LwxaQgvEMEbwDA8O52SNPPARCQf7XQ6dggph3U6HTuI5XJ5ioINE460hxdEPnh2Nh6QzLWAgoPc+6Ir6FnAHyBy8ElJfhMTE7x8jQgETUg3ODT8POU9QDO/kYyQ2gdpwVLoL+DaWIT4RFbVanVqlgX3Bo7QbDZt5qav+kTVhqiPUilq5KFQSMVi0fAef/o5ow0oaZNWgAOAP/gzVEjT6GbFIyO3RzoJKI7TIDolWgFgplwPt+W5554zw0LrPKDp8vKyNjY2jBIOCB+Lxex3kLbAluX58CxQYQOLoFojychxpGaQDnGgpCI+M/cy142ILFC3TqVSWl5eNnDLb1FnXiX9HuSKVFKw+p1Ox2rRsOQymYwajYYRckhBOFiQYnwMQ9IUwEZoj4Eh7MXCA+aBvCO3htgrGApelRZk2KWElnz+8PDQeBdsdqIkqkDQsaEo+7+fkJeFEaIPBtVvKh+Axel0Wvl83rwqoDHGIx6PW6k7FAqZMQbE9bEkwGlSC8qxHAIiM54naRzPCwp9Npu1fB5DC5AI2YtnihHygUeiAyoIgIiUKOnwxNgeHx/b4QafgLuBk8LDYzh9KQQ6irknrhPDgDMDf8Lwo53B+/NZn6TbRFFPY90IYwHqTuWAEIzaNAeQQ05rsS9HhkoT5Bhk946Pj9VsNg29BmNAcxHPTJ6Mp0B9Ge8GUxRPzeBf/j5CPb43BBfg5dLjQvs34S+bitQE7gjeknIifQknJyc24TyVSkmSRUscQMqHdH3SrwDZiSnnVFBOTk7sZwmr/YE68/PjkYcoppPbQ4P2O0HBY0gTc7mclWYxAkQF29vb9vM8d7RBifrARDCEULlJHUlHmDxPmsL3+Z2spEIcYNryac7DIaDt2Wq1rHoDh4eoBIOAXAHGE0IdOFAsFlOn0zEDRqWNyogv50fVBUfDnJtoNGpkLSpgl71uRBqCHgERApO/z87OzENDvYWtSDcnLz2YCMAwGQotAOjN3W7XREioTBC90IlKg87W1pYpJkUiEVUqFd29e1fxeFz5fN6ovfF43Cjl1NchTFGCI21hQ0FT9huIfCUmyrTF4liYDK/FzxG2cyi3t7cVBIF5XOlRZywgISxTNEdJayjV+h23bGjKmRxaehggtEUiETWbzSlPCNBMGA/fgOiPn+NALS0tWaTic2sAIpPJpPFoqDCAI/Gu8Ny8R/YIXA60VzHIHFIiN58ASBpDmwGdrGBJtNrTYQsnhagUNTYMuSQDoQF++RzVuHw+b23xVKqYvIeQMnsdwwKIfdnrRhgLSVM9IYSw9CqgykQ7ME1Jkqx9F7IMgB/EF9IH2oAJYdmYyPIhcENPCpRkDiIhoDSmp1P2pGmN0iefp4rhA1g+hwKvg+egXIxHZHo2WgqSbAP7IiikEPAjBoOBqUjhKemOJPeFOgzJjXQFHgJ/g1DbpxdT8eDaaW6ikoKhkGQRBRPmEYshvEbmDwNBJSoWi1lFg1SEXJ/rJwLibzFGUJKVtHl+pBq9yWR0iFZgMKSavuEDK0NrlWY2njEqaLSkE4nxOyB4FYtFA3xJx4rFor13DDP3RBNjLBZTqVTS1taWpYiMOZD0zU3KAsTa29szoKtUKplKEBUFZntiHMhVwRdAsaEvc5ibzaYdOjweXtcfPusfDsRbMTKkQ2xocnW+xiHm5cPuRCqQBiCiJp93QRRFxCDJtC3J8WEgAvhiXPDSPhaDUCzGERISG84Hd8mbCZ2JeihL+tR4jE+327W/wftAsYzvpdxLtIFRwbBIstGMKFkVCgUjlgEAE7FgyMB2et40Mp4noTqHn9RyMBioWCwqlUpZ0xyMX/AeeBf+fuP9UJEgXcQJ0ZeysrIypVuKrixAO/gNDXpBMB5jCFHPbz0gmgBEj0ajNjzLn3h22evGGAsIRUEQqFwuG82ZHB3QbHd31wAxuPiEykzKxkPR37GwsKB8Pm/I+eOK2JBw8Mj8XujheC3KYDT5kGr4zU2wDSlLnp+fGzsT/sHBwYE6nY7NE4GnQekwPZlORis4GAPgK6VBogW/ssPGBoREso1IBjVrDpiv4SnJqkWQ0ebm5mxWSDwe1/LysmEXvqgMP49oD1WHhYUFI4PR1Uk043fHwj3geUDskh7xSPh+DjSAMhoZc3NzFtH5cgfsHcrBgOaSLMokYuXw+joWfj8M75/3AMDJjBhKpqQkfM7/ry/9B0ZxcnJirQHSmP8DpyMSiRgmB573vsYs0smEDo5OVc6n1RucKb0QUffwTAd7bUma6odgY3S7XaXTaWv3DYVCpnxFK3O1WpUkC79hcWIwMATU8iEvEaXQ2RiPx03TgnZocl42FFECxB94HQsLC2bESGlOT0+1vLysWq1muW6/3zdDGIlETHYOYBCwk2iHgcRgOXh8OBN+xytMUiIR6MukYoPBQKVSSc6Nhzv74wU4aEQaHFjC6uXl5SkxHUDNpaUlwyPADtA75eByaKHuQyqjFAxgR08PpVvK0cVi0YyMH7JTnkRUBz5Mq9UyUWDeJXiEc86ivKWlJetkDYfDun37to2gwADSD0NFAsyFVAZ2JakS7e737t0zXAIiGqXfubm5KXIXqQhyA6Rk7CP4GXRCO+e0srLyVEhZ18ZYfOe3vai3tvZ0e72qhVhUg+G5qqORvviF/y1JJvSBIhSHmQOfy+UsDMMaLy8vWxhYKpWmDA5lwk6nY7NOy+XyVOnJp+kCbPmNYUyzJoSGt4HqVS6Xm7L0PoYAOAXhCWIZ/QiJREJ37tzR3bt3TVwW1h4bBkyB308ujlAQmxjjBM+B0jFALvgF7dJ0ZMIl4CDwOwARaf+HN0LpkD4QSXYYwImgmpPytVotG7yDYYJ/gLcdDoe6d++eMpmMGUkqH3hWosnj47HqeDqd1tbWlqrVqtLptIXxgKOkKxgGIgcqZ1SeqHqAMVCV8fsw2H8+54ZromuV9Asauw9YwvngfYEvUe5n5gp9QDhHCG1wNgBw3/el09HoTIuJJUUjIZ2OAkUjTqPzMQX6hRdekCTt7u5a2ZBSG6VOn1A1NzenbDarUqlknh/wkcMIiWpubs76BO7evTul5sRGxzvSzEa+CugGgEqvBWpS5O4AhqPRyNiM1OfhKnAvNKaRWtA9+TjijrFj9gmelIPp/z4OEAQkPBUivpCGnHNqNBqWHpEewHQlr8ZAHBwcWHjNhs3lclZ6RjgIbARlc6IMjC5eFG9IREHFBOEhDhWHgSgGxixGYTQa2YyX0Wik3d1d4yUglMMzg7DFoS6XyyoWi+b54UxQ5vYNKfctSfV63VIa0i/Kur1ez2aDSJrSN+Ea6IwFmyGlePDggSQZtoIEw+LiojlAomKqgk8Ls7hQZOGcS0v6ZUnfqvF8kL8j6U1JvyFpXdIDSZ8KgqDrxonkZzQW7R1I+ltBEHzp3f7GH79+XydngXY3Ax0NzzUfC+loeK5YJKS9vYgymYyBdCDVbEjQekAsGHx04kUiERMJod4fj8etI5IQEb0JnyUai8WUz+ftcNbrdaVSKfOMbGjyX8JI+i4wLLx8au8cWlIq1Kd48X5VhDLZYDDQ8fGxHQo2MlUZiFCAer64Ct+XSqUMUANMRFcD755MJi0El2RGkAii3W5bhAVmQuWHXgh+P708GCsqM/y9x5mkRADgHPRl0B3M9XBIIXKhT4LALbJylIJhlMJFkWTEK/RA2u220a1xJlQzcBb0HFERolpDXw+UcaJUvieTyajdbhvRjuvFCBJ54px8nhDYWaFQUK/XU6fTUTabnVIm8/VJ2DeXvS6ahnxG0u8EQfBJ51xM0oKkf6zxrNNPO+d+XuNZp/9I07NOP6bxrNOPvdsf6O5NT6QeHk/+q/GBvH37tnmYlZUVSbJwn/Ddb9Zho/tDbPzei36/r0qlYl6d/or9/f0pteRYLGZhKv0E0KNrtZqVU4lwyE9LpZJhI/AZfHFWOBbksUjn+xOpIAyBB2B08Gp83G63LWJhw4Cqg74vLy+r3W7bbA8o8XhJ+jgguhFh+bkwvRWE0UdHj0bncU3QjqkIQO/mUFCNIJ30Q3QAREhIhNZgMVDl/aoNIC0Eq7m5ORMUhr2JkcMg0J4P6EtVAtYroDbvAoYqXA+ATQx6qVTSYDBQpVIx4JZ3CU8EQ4f2CFU6StBEsUSRdMFCE6cUTRq0tbWl8/Nzq0jBtaHidiV0b+dcStJfkvQrkhQEwTAIgp6e8axTfwODJQBMSbJyJRubFIM5I1huvBbYAYYCWjKIPvqNdAjCiYB/0O12p5rB5ufnDTzDa0IJpi9iaWnJVLYIffv9vur1upHAMGTwDjBYXKffvZpMJtXtdi1dwBhyj/ARYIzy/DgMAJwwFjGYeFI2OPk5h06SHVoMBMApUY8kAwDx3IC0VBPQx8QrQj4iQvMjQkhXdJOiBQE2Ar+B6waAJKoA+yDCgauA4SadJKUlqvRTXiJYmMTNZtO4O0RRYBFUrgBMIZFFo1E1m00Dh2lahONCqrK/v28Yix99SjJOBYAouJQf2VwVwHlbUlPSrzrnXpb0R5J+Vs9w1qkkC7fi8bg6nY4BbsiosSkp4xFibm9vG00WL0PUQakzPZlwPhqNrDxLyE+aQl+DNO4J4RqQ/K/X6zbwBpyAvBi0utPpaH19XaVSycYj+k1RGC2al3w6OBtrY2PDohI2ICU3kH+MIs1qpGPFYtGuRZL97bW1NRts5CstnZ6eWrWAzU96RsmVzUp5kcoQXu7k5ES1Ws28rC8jgHErl8tWAseIEA0SiSAAtLa2psPDQ/PG/A04CgCyOBNa3Km2UF4HYEY1m3C/3W5bJQitV4wr6cLKyoo2NjYsVaOng1koGFfKynBZiJJoRjs+PtbW1pZVzujvODg4UDabtUbFIAhMJmA4HBonCPUslMxyuZxFSqRpl7ku8hsjkj4i6WeCIHjFOfcZjVMOW0EQBG48NPnCKxgPV/4lSVpcXHzXnyUHw7NQxqQVndyYCU6QfvywnpZmQmmMDZttfn7eLL5P9UVFG/0GqhV4DjYJ0Q9Gh6Y1GrrobKUDlmsGeCRC8cEyWIl+qY60BHAUb+aH0z5FXXo0FUx61AAXCoVsM4MD0MOAviZe2lcK5/cREbzzzjvGaQD0Ozk5sUNJuJ3NZi0SId8GoKRJ7eDgwMRfeK+FQsEGGUGEg+btjzmUZB2ciUTCOC6kK8Ph0GjxmUxmiiDGNUPyI+ynaS0SeTQbF9FjKNxUpaDXExVms1n7eQw65Vnwonw+byVyX/WLihbEMlK44+NjlUol9Xo90xLFiNfrdQP5/SbBy1oXqYZsSdoKguCVyce/pbHxeGazTiWZZyAkC4fDNgmK8BwEH+n5SqVi3phOz8e9m3POiED37983fIESpU8IwgiR7wLKARBSjsSD+EpXvFCfBMXPY3DgfsAWpF0b70iqhOcg6olEIioWixb+S7Jhwpubm1NlWzCIdrutbrerfr+vVqtl9wzHA3YlVR/ANxib0pgot7+/rzt37thcVn8YEJUPRhtyv6SKlHlB9BuNhnlpBGkR7GFBCSfdgDdD7w14BgYPvgckM8BZwv16va52u20VHiarOzcW+SVlaTabUz0fRGFUNfL5vPr9vvL5vEV7YFkwaJeXl5XP5+1d1Ot1i0B5541GQ/Pz82o0GvY1AF5k9UiZGL8IMxeHgXO67PWuxiIIgpqkTefci5NPfULSa3rGs06D4NHsD2rVIOnQsslL6SqkiYqcHjowYB6UW0JJQCXKnpT2KAGySdnwRBIYLrooESqhVk915fz8XNlsVul02sJ0vxxI9yQRjb/RaIpjRgieA+0HfnYwGNhks1gsNoXXENIDsPkduX4rPlGE3xZO9MLf9dPAZrNplHgqElR3wH64Zu6X8iC5uC8mFI1GrdzJ4ZRk1HoOAv02VIMAbgn7GVINDsIixZFk74H7ROuDKhTvgwNLxQpjgFBvt9tVsVi0Shj7gREPdOz6jFxo2jwLIkiMwOnpqaWjRJbgH4+LD7EPwVmuBOCcrJ+R9GvOua9K+rCkfyrp05J+wDn3tqTvn3wsjWed3tN41um/lfT3vtGLrFQqVjXAEPCPQ0n+yiBjMAhCSujbgD+tVks7Ozt2uHm54BuhUMhUjfi8r8UQDocN0WfzweDE8wBCIatP6EkDFiQiymDJZNJAOwhAVGAwEpTUotGoAYI0UiUSCa2vr1sPB4AlGgmVSsVAQkl2jX56w6YDvAVkhUlIVYL/ItQiySoiELTgO8A8JCKcn5+3rt1cLmdRE9fsd+SStpCL+3/Xb0mHHk/6R7WBHH9jY8P6ZHzSGvdNBOVrvRJV8tx5Zt1u195zPp+38noikdDq6qpFR6enp/ZsMpmMGeLhcKitrS0FQWBleQB5KkE+7oFTQVCHaI1KFvuVFI3o+bLXhX5jEARfkfTRr/GlZzLrlHIkVF8OEi8V7kC9XjdePuQoDjHaihxQ//tKpZK63a7pIKLp4Hfx1et1VSoVC4nJFal+kCdSLiRNODs7sxItjUAIszYaDWuRlmR4CexFogZyUfAZ8msO8GAwMM9EPgxuwdeIBEh5eJ75fN7YgBw+aey12Zx4woODA+MaYDzxhkRHhULBGuHoxsQ4SY+GETWbTQu3SauKxaIODw8NZPT1LqVHilAcpna7bSrhAMkwMsEoiCaLxaLxaqicoSAmySIjmJz5fN7Acr9tHqFonhUGGyfC9TGQmugHvQ1wr5WVFTWbTYt8SEvpcqX0DXiPhgaOkGiRSPfu3bv6wAc+YPvB31eXta4Ng/PPW6DCHILHhU2oVNAnAkCIxgLRB2IhRBGEm9Sv4Q4sLCwok8kYSLa3t2c0cjATWpSpUhBykndDDuIAk7/jGelxoWJCVEE0gSfBo0IdhwglyXphqP3TL+CnD4ChiLiQmuCxSDlIG/zwlSqCH3oDEBLygjkQdcAg5GfwmqQcpEhEX3QCw7IFf8Kz+ykQvAzIWysrK1aNwsgDghJpHh4e2rsFG2CK22Aw0MHBgSmMs6/giXCQKd1CjgOgxcDu7+9rd3dXnU7HMAwUxPgdYAu1Wk3D4VC1Ws2M1WAwMMapn+rxMRhFvV63DmnSa6KtW7dumZzC08Isrk1vyEUWmxJSFBoPwaSdGIYk2EMw6ZakT6Tb7dpGz2az5nn5x2aBc0BuTTlza2tLS0tLhk0gZgMHwTmnW7duGX8BoBMOANUDXiqblb8B0AoYxj1Ta/eBVcBODivdin6jExodyWTSJNkIxQH5SI04lO12W+nJPFf6PFgYEl96ELFbSUZFZ6Py/AFhoTV3u13z+lQaksmkicTEYjGrMJGe+ZwO0kHfKELR531A7+bwYcDArHwngROh52JjY8OiTPYajsIXzOFe8vm8GX/mrOKQwLV4blREcDTLy8tWUSGKBQ+h6kN6Czfk9u3blnoSaRCBskd8UPiy1o2ILCQZ56FcLltJkHZhPBy5Li8HT0nOOzc3NzWEFw8XiYynPgGEnZycqNVqWfSRSCTU6XSmiENsHkA45joQIqK1MD8/r/X1dWMwLiwsWBUCcA6vyDWFQiE7LBCh6H71S4SI+h4cHFhTEcSnYrGofr9v4B2HDKCWv4lBAchbXV01PAi2IwvcgcoNoXCj0TBwlWeChyUK82UA0dnMZrMWMXAIAVt9zGN7e9v0PPwhSkROGHf0MABrSVupKtF7wXMFB6JyQlREZMH7RxagWq3aNcPDIPJbW1ubagHwO1fp6Wi1WvYOieowGvTa9Pv9r6m5UiwWFQ6HVS6XTWsU0BpmMPNDMKKXvW5MZEHHJYIu8XhcpVLJ8koeWj6fNyDTOWcRB1gCBBgOI23oWPnd3V3zJnhCLD+/r9PpGB2cHpNsNmvt6WxUDvrOzo7l0yD/RDjk8H7fCOnC5uamqtWqeVzo4RwSJAZJXzjAoVBIDx48sHIcUUev15vK5/P5vKUjlN3gNVA6hWbe6XQkyXQ/JNkYBhiZkqzKwH8xXpIsaiKvhvnoi9dIsujr7OzMSpFEPTA5/aYtDgc/ByidyWSsYQ/9TQw2mBLVISoLRAgA4YgZoSdBzxHem5ELOzs7NlognU7bO0cCwTlnYtNgOKRG6J+S4lBFW11dteoIhpCfp7UA7AUHhYN4GtWQG2MsICyBrofDYWu39hmg6GKiyYmWIk1kdO2hBeH3CfASm82mYQOEvyg/cZAl2YuD/EOqI8nC8WazaQcM70bagngO1wpwGY/HTazX530QheDNdnd3FY1GjQYMlRouBlEWPAe4BFwbVHao6EdHR1YG9Qca4Vl5Fr4uKK3ZvV7PoghSGX4n+fXBwYF2d3eNHEUpFV4HzxBjCG8EcBgDzaEF8ScFBNijvOirfPulTzg5tVpN0WjUWKpIAVAFoyclnU6r2WxaVMJhxUByvYC/6GD6TFZSZvYHWE4+n9fbb789NekeHMyX66vVakY7B+ilKY7eG85GJpOxv3OZ68YYC9B1yE2E+zQ/UZlgfgMPFC9xeHholpjOVUJ3DqifJ+bzeatewG8gaiAaSE9G5iEmI8nUrQD0JBloiqGALeqLAvN32YBIqlFirVQq2t3d1dnZWLquUCjYnBAMCCE4FOqdnR27316vZwxLBGclmV5pvV632SyE0PTgUH3CWNOJScSVzWanOCMYY0qm4XDY2rzD4bCJzxC5xONxM3K0q/O8OVQ8S9bJyYlNfyfSIcL0KfQYXEqKCBP7VQ2qapDMSEMgZQGCRqNR+50wUOHQgE0QkdAxCr/C1yBhrxEt0jXLNWMkSdui0fHYxmazaYaWyIG9i6GlFeHx53UZ60ZgFtVq1WrOlALx0lh58kAOKWw8/p9+AboIu92uCbYC8rEBAUjhbxwfH+v27duGTtOCzEbDCyKS05uMrltYWFAulzOcgvZz55xVTQDtwClIs4rFom1iwtVkMmm8BMJ4Nifhq9/XQSOcNDYKtVrNQFQmdfE8wQ58b473JM2gKoAgLz0cqJIFQWDybnTdAkBSrqRrFy9MpMMc2FwuZ8+WCIn3xvv1Fd2Jski5wC4ikbFMH817HG7nnFqtlqUgRF8YN8RjiCqJTmDolkolGxsBoUqSGXRo4fQdxWIxE1eCjIdhQlPVj/qIHiQZNoNIE9UzJPyI8Or1ujkpWiCexroRkQXeBrYf5T5SBaokWHEYnZT5qCRAceYQ0ccARwDPzAaGhwGLDsPBkB9Yo+hLSo9y9LOzMyuZxuNxK33iiSgXYpD8aowkwxTAK8BDqGqQsvi6HpRm0UTgnqiG0HV6dnZmYrSEt5KsBAtoCBDcmyhPQ5f3kXs0HyB7YexQ7vYZhoTmkNhgj1IdCYfDlgJSVfBnb0AWk2T7ATCQln7wGESGiV4wnhhxSusYQX+e62AwMG0TjDzvhsoJFP/9/X2Vy2Xdu3fP0mMiKQwUFTwiAKQSSQWbzaZWVlbsubAf6TgmXWHsA9URekuoqGA4Hk/NL2vdiMgCgVk8IaH5ycmJdRbyEsAGaNSq1+vqdDoWGrI5CHHhUpDjc0jwiozv6/f7tqk7nY7xDqjIQJZikjYG4P79+3ZNDCtmdEAul7Nwm/shVwaEBUQkVfF7IkDRaRIjx0b9nJIvGAXUb5/iTvnNF6fBeAwGAwMV0dmku5QUBe8MFpDL5aw0ycGjExZvTLeuJCt1k274Kt5UuNCAADSlEnB0dKSdnR3z8L6x48BAx+a9c488j5OTE21tbRlFm7RVkpW0S6WSpHH0sL29bfwWIg3p0YxZImDKrhhnSvh+1ECJuFKp2H46PT01EJgSO/sO6UY4PVTocDR+BPxNDXAOBgPzQngkLPDJyYmy2awx2ur1+lRHHrX6SCSiN99804BIJlA556yyQH55ejqWYEOhis+zgdnckI9gLtZqNdN2oD6PF4GjgYfd3d2dUjyi8gA4h/ANqQY5dKvVmjI2qDvBzcDQAUzibff29uxg+sK3AKfk0XATCItB8e/fv29lz4WFBWuYovLj93zQXYlcHDgRdGuIZtDfEZhBbJaPKfdSwoTs5lcHfI4KuBK8BBi2pC6kTOhbgk2QrlEtgU6+uLioer1uJDzSNEru/X7ftEGJNABeaTEAMIbj4quCJZNJI1IhKgzwSjSFMwuFQrp165Zxd6jAIUScy+XU7Xa1srJiBv8y140xFqQAMOIePHhgFhzPvL+/r2w2a/LveFGae5rNpjKZjA4ODgxAhBuBGAyNS7RKw/L0BVWYE4IOxnA4tIlmlGoJEyFOzc3NqdFoaGFhQalUyjABBGuJjs7Pz00MBfJXPB432bb9/X1VKhW7ZgziaDSyoTgAbYPBQPV6XXNzc5aWEZmQ0nB9pHhUCii3SrKeBgwkxrLRaFhERRTDQUdbAYSeaAMRIQ41or+AxT4wR8pDCkE6ymEhTcQQEVnB17h7966plgOEwlTl0BKJkXb4uiakFblcTsPh0EqxPoBL5ACwSIUNjIO2Ab+JzG9IW11dNWOLwzo8PFS5XLboLJVKaWVlRQ8ePDDuB3hSNpu10ioRmJ8mXua6McYCMFIah3DVatX6NSiVzc3NmVUGjQb9d87ZtG68DMQaSm9sJEJzwnMsOx2uYA80MQGwUiEAYPM3ZSqVMlagJCvDErqi0sWB8Zl5o9FIGxsbFl35MvFgNOAkqEDDsITiTC4NN+RxIIw+BTwgjWmDwcBwGP8w8beOj49tGhzlQQ4OVGxfug9eA6kTQDSYAJKGNMPRM8FB45kuLCyYXgkRIdWw0Wg8I4bu2p2dHeuzwRijQ0rUE41GjXlLtErYz/7zU156i7hG5x5J8LfbbWONEpmUy2UzxLBGUaHnmnnehUJhKi3FEfF1WL+np+Ppb7S9M2+VlOay143ALCQZIQrWIIeSDQf70e+MlGRlU0BGSn/h8FjNCjwEsJCfZWPzYiA/YcGhL5P7o0BFaiPJkGw6ESmxIvCLnN3Gxob9jVAoZL0GUNklWUpElYADD4DLhifSIQIgIsPAgQv0+31LVyAM4a0o5+7u7qper9thJ8KCtSrJvhf9Dw6kJMNcYHMySgGPTFkTYw7QCL6AAaJUS1RxenqqRqOhw8NDbW1tGbZEZQTwESJfsVg0xioVq8XFRTUaDUuLtre3LZVCx4RIIQgeKWVRpgespMrW7XattJ3L5ZTL5axEm8lktLW1pXq9bvuNNISoDdEdH2jlXvwUGz0U5sU0Gg3rau50OtZp+00dWRB6QUJ6XC8AkA2egHNO3W5XlUrF1Ii63a6ee+45K53RiYjnxyP508fi8bjq9bodhHw+L0l2EPF8sA8xNCD1MAJB6Kmb93o9A/koCVL6YlYqNGVSqOFwqDt37qjRaBjNms3Hffsgqc/wY6I7EZUfeYDUx2IxtVotA11PT0+N/j0cDq1Jb39/3zpnScF4LwCMHG5SGsBG6OMcCEhIMFjBdki5kI2Dpo9iFgxOKhTgGLSA8/4QviE64u9SdgX8BVvxq2foUMDxAZyEDEUkCmBOpypOhQoFxqlUKplR9yO29GRCO/sCp8HYS/gWe3t7puFKWlkul20aHdwhwOjLXjfCWFSrVaubQ2BptVpTpcuTkxOtra0ZbwLhENhvHEC6HiWZh2DTwZjDG+7t7alcLhu4hjaCT9mVHhGx9vf3bUNIMor13t6enn/+eUt5UMTGmPA3YTzW63Wtrq6acE46nVahUDDREwg6PnBLBy6zXiVZC7ck80wM8qUi4HfS+lJ8AHhwCjj8mUzGDBF6D758P5Rxn7dAtzARmB+6U56kjEjEBQ5AwxilwHq9PtVTA0DJoeSQw+4FQ5FkUQEHkzSP9yvJcAZSUNJTKhp4btJK1MsRLMJ4MSKBEYWUbaGCQ0TDSDPtDDCZyArZQ7Cr/f19zc2NR1OCuUhjGn6j0TCi3tNYNyIN6ff71jh1dnZmnh4AMJPJKBweT+NmqjgpC0IolD7z+fwUTZiQ2A/9CM3h7NO7QY44Go1ULpcNZASHIKznxfqycVB5kf07Pj62vhby1lqtZorNOzs7U52Z9+7dM6PIZqhUKhqNRiYsS7UEWvLa2podNJS/CPNJs/xQmmHCktRoNLS3t6e9vT1Vq1XDfxgViFf1gcZ+v2/0cTQ5ye0BQCFJcZALhYIKhYJVNwCmYZ4GQWARVjwet78bjY7Vzpg+j7ix/+6oOvmlYKLHeDxuMoCU4qlIUGIl8sH40WJAKR2H1Wq1bEYIabAkE9ZhUjrPj9/LviVVWV5eNmEg9inRGkAxQO/u7q6lIexTGKrIIVz2uhGRBWQUgKP0ZDCwJCst+VED1OnT01ND25FJ5+DjWRjD54ePqEPRqERYnc1mzXozutAH8+ACQMhis8JapCLCtUPJhrUXj8dNg5G06/z83Da39KjnhJr/8fGxksmkHj58qHA4bLNEYfrRUxIOh3X//n1FIhGtra0ZXkP1hvsFhKW/AaEa9CwpUwKoYSw5XOAp1P5RDWdz+0aAnB2mZjKZNMoy0VkikbAGLdIADiUAIoeXJjLawAeD8WT0ZrNpRLHj42PDftgL8GQ45BxmUoZQKKT19XUrgVNeBpPAQNRqNeXzeSv5FgoFE/DlnbIniVLpH0GYCZDVf9axWGxqLKf0yDGxF9hrRCfftHRvacz7LxaLdgCazaZtOkbZI/9PmZM6PoQhXgJIPwNb2u225bpgE91u18pnSK0RytNnQq8D9F3CVHAHypdsfqjRhJEYNQhC2WxWuVxuiuQUi8WUy+WUTCZNxBUjEovFtLKyYikSfBC85L179yz8pZJCtaRYLBqGAgWeCI4DsbOzY6kGuMXe3p7a7faUKjnlRQ4IKcNoNFIul7MmPrpFOXQYTYhPZ2fjiXII+mDE4JpwCBFGBi/yRYR8dSy+Ho1GTUvi+PjYRHqJtvwqDweaqhGGs9vtam9vzz4HwQ2RHjCDXq9n6fH5+bny+bz9LO8GQ0FzHO37dDPDxeEZk+KyXwGkER/O5/OG59Ae8DTWjYgsJBn4Rg0dMMtPSwqFgprNpvV2MLeB/BvgilCSPJQ5Hr5qMnoD4ArUzTkYr7/+uvWlkOb4/I+trS3rd5DGYX2pVDLOA6VECEdgDv61SjLPQiszfAAEbMhb8dSE0j5ewSb1y3NgL4SvpCdgGb6aGPwVHwilMWxpaUnVatU8NVJ4MGGJLDCi8EIomfJc6ZGAoAYwDJ5DdIUnB2Ohb4LfjfoUZWEftAQATqVSFpFQcdjc3LTUgCgQY4XhBS/juogkMIDgGzgI6ZEkJMYqlUppe3vbsAkMkM+uZQqZXxInDaasjbIWJD24PYlEwgD8y14XmUj2onPuK96/vnPu55xzGefcf3fOvT357/Lk+51z7l865+46577qnPvIZVwoHhWrjCcHXItGozZLBI/faDQMpQdgozOSEDuXy6ndbuu5556zNl9ycbwDB40uVLAPvDQhO3k5+Tc4xMnJiXV8DgYDS1FA1aFNFwoFnZ+fG4mM66SHRXo0J4MNxfVSeqPlmrAXxiKeDEIUre94fAhQpAYwEX2GJs+Wqk21WjWcZHt7W5ubm1OVJJ+mjjHwo7VcLmcpGmQtVKuJwvxBQZRGYVmCxTDDBS4F3bOFQsH0R4nEuE8MNvdKukM1izIrkndQ+yVNGReMLQbEB8NxYIuLi6rValZiDoLAHBE9OslkUqlUSvPz86pWq1POEMo+okmj0cgAc0kmyIScIBH0Za+LjAJ4MwiCDwdB8GFJ36nxsOP/pPGgoc8HQXBH0uf1aPCQP+v0pzSedfoNL8DM0WhkknjFYtHo3cPhUIVCYUrhGfovTT1sdtiFMPNAo9G4wGuVSiXLBSmtoZUBdRgglZq+JCtZEhKTW8IRoG+D/g9Uv+BsAOABwEYi44lc3BvkJZriiADItcEUJFmPBKVTIgoOHOU6wmca5vDMkUjEKjzgIHBWqFig+YBuBwxRv8pAeE9UwP1yUDn8EM2IpjCygLKSpowWwDSEJJ5/rVYzfVaAa3CRyb42QWY4OnApKHkuLS0ZSFmtVg1cROg4kUhoeXnZSs1Q6CllA0YjwgtLFb4JeNvp6an1t+zt7alerysej2t1dVW5XM4U0ZjlijEDMKZacnJyYmV1HNtlrifFLD4h6Z0gCB7qGc86pc4MCCSNLSqUWZqeRqORTVInd93f31er1VK5XDavhqoUBxxAjqhkYWFBe3t7Rj5CEAXLDfW82WxO0b6hm/vDbn3hFl9FG6Tc52QQxpMPww6l34S/lUgkVCwWLS1BBYyOXEm26SktHh0d2VQ0MBSwHgzx4uKi1tbWrKoAMQo90fPzcyubSuNKFepiqKzT6EVvSqVSUTQaNQP+OOvQp4kjQoOxrdVqZgQp35K3A3RTYmY/YCABqhkeReMZNH6IXNvb2yYTAAWd90/1YmtrS4PBwOQSqKwghQdrF8AZCnq/3zeqfKfTUbVaNXYmFSTSUDQpTk5O9M477+iNN97Q22+/bYRAsBFfdAlcBqUtGueuQzXkxyX9u8n/f0OzTp9kvfjii2ZVfc9MWE3bMbJotO7u7+8rnU4bo4+D+vDhQwMs+X1w8xuNhorFonZ2dswj9Xo9A+Bg9sEh8BuQYEkSlQCU8ZILhcIUX4MIpFQqmfZiIpGYAu44hJB45ubmbAAP2AbMUMJsFKOo1JTL5SkWZiwWs5+lg5RIgp4R5P/ANxChhfAEcxY2JyVbNCLPzs6sy5bvIwpBcRvKe61Ws4gpEolYdMXz4HdjdInuSD+lR2MCiAQ4XG7SWYzhz+VyVuokuojFYlOdwufn5yYSTHQDPhQEgQG14B6konSSSrKIFM4E9wYuBcYCOM57g/7PfgfTGg6HU42PELGIyjBGYCFPY134tzrnYpJ+TNJvPv61YFyneaJajXPup5xzrzrnXn23kOmtt96ycL1QKEyh0OS+iNVWKhWTXCMURJlJGnvCarVqhCCMCh4AzCCRSFj7cblctlCdCef5fN6qBDs7O8a/QJXKJ8ZQujw5OVG5XDaQkBCSSky73Vav11O73TYqeb/fN7LX6uqqFhYWVKlUDByUZF6G2j/R0fr6unK5nNHbs9ms6WnQdUsURUnRJ7sBPlKhgdAEUYyxDFRt/PEIVHSIsChhw3vhuaysrNjcUKjskuzgdLtdiyKKxaJWVlYkSYVCwbRCEJXx00HSFASBqHoMBgPr70CZnLQTABzuSalUUrFY1NnZmRHHkCwAU0omk0okEkY7x4EQ1TBWEi4ODoB0l7IwkRDVuMXFRVNrAy/j2QDMQs3n3eLAMM6XvZ4ksvghSV8KgqA++bjunCsHQbDr3sOs0+AJBiPzMmkUA60H1CwWi9a0hIISufHjehVQign36DAkwuBlsdEymYza7bby+bzV8CVZXglYCBWXdmaiGnJhpkXR2cq1gi1gPMAboEoDVm1ubpqIzdzcnMrl8hSlm/yXnwXs5XoRcCH6gVuCAnU0+miUHoeaAw+1eDgcGvEJliOfl6ROp6NSqWT5M2VH6Nvk53wvhiccDlv0s7y8bHoecBw4JPPz89rZ2bG9sLi4qI2NjamIpN/vq9frqVqtWoMa72my19Tr9ayrE90In5ZNdIGWKApqsE/BBLa3t6cUwNg30McPDw+1vb2txcVFJRIJcziVSkWNRkNra2va2dkxrAcMBZAVmgBOKJvNGi9IkkVYpEmVSkVHR0fXQs/iJ/QoBZEezTr9tP7srNO/75z7dUkf0yXOOqXslkqlLFeMRqPa2dlRpVIxzYlCoWApRhAEU8SnIAi0vb1tyLw0ZkICQOIRSHVo1sLb4KHodkXHALZoOp22PgjYfYCgeIxWq2UEJDgI5+fnBj4yJZvUwjlnbciSrPYeiUSUy+VMoo+KBZ21MDmpthwdHSmZTKpYLNp9oscJu5T8mLCelIAKDrgNJTxKldwHBsKXuSNdODo6MmkADBHUcrwss1J5ppDRfBo/fJLRaGQEJIBktCo2Nzetd4UUwjmnhw8fGthJJYcuUNILAMj5+fmpMQdLS0tWAqaMiuQg/AbeAykJB7/ZbFqrPFEMht1vtmN/+dWQlZUVvfXWW8YtwviAgYEDgY2wTy97XchYOOcWJf2ApL/rffrTkv69c+4nJT2U9KnJ5/+bpB/WeNbpQNLfvpQLnZTGQqGQdnd3jSgFlRaPRWOVX2cnTAPR53BKMs8Lh2NxcdH4GRgY8nLEZTY3Nw2jQGgHItf5+blWVlYsD/VJN4uLi6YS7kvxMcoP8HU4HNoGOj4+tpAf7gFG7/T01NiV3D9l3t3dXYtsfD5IJBIxCjupC/coyZiqTL8iuiFN4xnlcjnjP/B+8IJ0ThJ+Ly0tSZJVhXq9nm7fvm1jEMGF/CltfC/VEIwseToUcMBPHAcAMBwMCGkYFH8yHBgWholnTA8JEQz7gf2D2C9VKaI6jGAymdQbb7xhnaFgMpKsQY6ogHJ3Pp83bAgRpWw2q4ODA21sbGhxcTxRvtvtqtFoGNnLnwNDmvg0ogrpgphFEASHQRBkgyDY8z7XDoLgE0EQ3AmC4PuDIOhMPh8EQfDTQRA8HwTBtwVB8OqlXKinyZDJZKyJCoCTUJ+aPJs3n88bSo+35GWR33Y6namhtdTAMTiQbvD2HED0KI6Ojkx4ZmlpSc1mU7dv37YqA16ZzYPnwcOUSiXT+sRzFwoFY6NiKMEH8G5ENY/rejrntLa2ZrJsKFhRJcIowUykKoKCE1EbTMnT01OtrKzoxRdfVCqVMrwEvCidTlt1iWc8HA7Nu9IhS9s4gC1VCdia9GFwv/F4XJubmzYPNZPJWN8Gz4qyJGkcVSlSy9FopFqtZvuIA4/hIwWC6Aa7V5IZ8GazacAh6dT5+bnhMD69n2oORD8wDEBJngF7DdU2yvY4A/Q9kB0k/eE6iBJ57vPz4/GGvV5vShrxMteNoXvTeMUmHI1GJk7KpHAIVIS9DNTZ3t42YstoNJ4Ozqg35NqZhs1BikQipp8Js5E2asg0MOoAAgFHe72eMReXlpasXyCRSJhSF0g9QrdI7qE1yr2Gw2EDLf0eF+ZZVioVK5li5EDbEVVZXl7W4uKizQ/JZDKG1+CJKflhLGAHQmTzG9igmNNRi4q2T2Sj34IqTiw2HiJMpSQajWp1ddVKwkSHHBIwp3w+PxUhgUFRHaH5jJIt0nWSrMz4wgsvGEOVMivPH6IffB1CeMYjoCQGeQ5jjrI6mAGkKQSMSJmphLFHILrRvYuGK3gQ1yWNo7wPfehDlo5S0WNfn56eKp/PWws+gDMl+8teN4buTcchmyY9GWIDCw9gjCoC9G0Oty88S01aGre/+xEF4B80cDaONOZ1AE4NBgOtr6+bsYC7UCqVlE6njZbsayUAziKTt7e3Z15ubm7OJrmDn6D4Ra8AgCL35hORSqWSEdDY0ITHPBcAw/39fUPg6fyk3k8p0SfB4fHAXVqtlkU6gL4AdPyt7e1tVSoVK7/i+SFyYUTAARKJhDY3N41BCrcEj8oBhFAHUckvQwKEhkIhqzRhZMn16eakHwQ1rOFwqGq1Kkk2GIqDx3wZKieAwOhzhMNhS4cpr6NTCrZAmTWRSFgDmd+lCrGLyANmMfIM0pjrg+Qi1w4j1Mds6Ce67OWeRnfak67FxcXggx/84Nf9ejgc1kc/+lHLT4kuJBmgxEP3RVvZ4AB8eBByVHI8PvY7D/k5PAR/h8PN3w+CQOvr69rY2JCkqSYqvzMWkhIhKSVG7ocN4X8/74bwnuvhEAMMssnYzHhmrqNUKtkYP8JWn2DmP08IURxAP6SltMjz8p8tzw4sBUYp98P3SY9wJKK2559/XhsbGxYpYBxJI/jb/nthL0iy5/w4Gcl/Tv774H2C1bBPABm5rrOzM1OlojRK6ZM9F4lELJohlYEKAFjJ9XJf4GRcIz/He+c58zX/Hrl2H3xOp9NT/SDhcFjb29u6f//+1z1TX2+98cYbOjw8/Jqgx42ILEajkV555ZWrvow/s5xz0qTE+dprrxlb8zos56RwOKrR6Ewvv/zytbu+cCgkuZAUjK/py1/+kpwLazS6HtcnSc6FtJxOKZPN6cH9exoFgYKnEN6/lxWJhBUETqnk0jO7vhthLK7jWl6M66W/8BfVfvC6StWK4pGoUvmsvviH/0/91tZVX54q+WW99O3foW67q1ylfO2u76U7t1R+/kM66jQVWUrrez7+Mbm5JX3hD76g87Ojd/8FT3m9/IE1hTLryi867R8Hun2rqvreUF999f/oCfmHl76i4ZB+9Ef+mt58Z1srpWXtH50/k+u7MQDndVsHR0O54FTJVErN7V0VKhW1d+taSCSv+tIkSf2DMYg3Fw9fy+urNVoKnQ0UXkhpdNBRNJHVaNBTKDp31Zem1GJUL334I1pfrah7OFJmMaLe4bkW58KSnk5Z8klWEATafvhQa9WyugfP7vpmkcV7XPNzUZ2dnmpzt6XyrTW9+sUvqnxrVe3axlVfmiRpObmosyCkra2a8uXStbu+bGZZ97dbGh10FF7K6mznK4os5XR23L/qS1P/8FSf+6+/o8VUTqVsQl/ZOVU+GdXG3lDS1achTtJZEOhPXn9b+WT0mV3fjQA4Z2u2ZuvZrD8P4JylIbM1tWLRiFzoaxN64rGonjTMjcWiYyBztm78mqUhs6WX75RUuPNxhYJTvfXGn+rw+Ez7vY5i8biGRwfK5gvq9Q/1V7772/Xbf/CnGg3aKuSzisTn1WqNRZTPT0/kIhEtp1I6l1NIgVrdA33f93yL3t4caXf3ntzpoVKZvDqdPSWX5nR4MtJ+r3PVtz9bF1wzYzFbyqQWNJ9I62ivrm/9wIq2W+f63k/9df2X3/6CvvtDBbnkijr9Q80FfTkXUjQS0g/9yA9r4803dOvOt2hpMaHD7TcVzpSUTBVVWBzptbc2dfvb8lqI9LQwP9IP/tXvVy4Z08FJSM12X4ViWp/97Oeu+tZn6wnWzFjMljZqe2pv/S/1ag/0oQ+sKjyf0+//3u8rGo3oS199TbnqiZrdfc1poNHpkdx5oC9/5U9Uf3hf87mS5io5zWcrerC1pYcPd5WKnWmz1lW2dKDjyLHSy2v649fe0pI71MJyWY1mR9s7UfW7rau+9dl6gjUDOGdrtmbL1p8HcF4LY+Gc25f05lVfx1NeOUnvd1c6u8ebv24FQZD/Wl+4LmnIm0EQfPSqL+JpLufcq7N7vPnrm+Eev96a1bRma7Zm60JrZixma7Zm60LruhiLX7rqC3gGa3aP74/1zXCPX3NdC4BztmZrtq7/ui6RxWzN1mxd83XlxsI594POuTcng5R//t1/4vot59yqc+73nHOvOef+1Dn3s5PPP9Ph0c9iOefCzrkvO+c+N/n4tnPulcm9/MZkGJWcc/HJx3cnX1+/0gu/4HLOpZ1zv+Wce8M597pz7rvej+/xvawrNRbOubCkf6XxAKOXJP2Ec+6lq7ym97jOJP2DIAhekvRxST89uY9nOjz6Ga2flfS69/E/k/SLQRC8IKkr6Scnn/9JSd3J539x8n03YX1G0u8EQfBBSS9rfK/vx/f45MvXUnzW/yR9l6Tf9T7+BUm/cJXXdEn39VmN56y8Kak8+VxZYz6JJP0bST/hfb9933X+p/F0uc9L+j5Jn9O4BbUlKfL4+5T0u5K+a/L/kcn3uau+h3e5v5Sk+49f5/vtPb7Xf1edhny9Ico3dk3C7e+Q9IqefHj0dV//QtI/1COFlaykXhAECGf692H3OPn63uT7r/O6Lakp6VcnqdYvTwZsvd/e43taV20s3lfLOZeQ9B8k/VwQBFOST8HY9dzY0pNz7kclNYIg+KOrvpanuCKSPiLpXwdB8B2SDvUo5ZB089/jN7Ku2lhcaIjyTVjOuajGhuLXgiD4j5NP1914aLTcexgefc3W90j6MefcA0m/rnEq8hlJaeccbQP+fdg9Tr6ektR+lhf8HtaWpK0gCJCS/y2Njcf76T2+53XVxuIPJd2ZIOoxST+u8WDlG7XceEDGr0h6PQiCf+59ieHR0p8dHv03J2j6x3VJw6Of5gqC4BeCIFgJgmBd4/f0P4Mg+BuSfk/SJyff9vg9cu+fnHz/tfbIQRDUJG06516cfOoTkl7T++g9fkPrqkETjYcovyXpHUn/5Kqv5z3ew/dqHJp+VdJXJv9+WOMc/fOS3pb0PyRlJt/vNK4CvSPpTyR99Krv4Qnv9y9L+tzk/5+T9H81HoT9m5Lik8/PTT6+O/n6c1d93Re8tw9LenXyLv+zpOX363t80n8zBudszdZsXWhddRoyW7M1WzdkzYzFbM3WbF1ozYzFbM3WbF1ozYzFbM3WbF1ozYzFbM3WbF1ozYzFbM3WbF1ozYzFbM3WbF1ozYzFbM3WbF1o/X/1SVEi8aHjagAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[182.3470543344879, 289.8117841443061, 285.6337926441242, 287.4730151841498, 289.34324868181955, 284.096282833321]\n"
     ]
    }
   ],
   "source": [
    "a_rgb = cv2.imread(\"example3.png\")  \n",
    "a_gray = cv2.imread(\"example3.png\",0)\n",
    "\n",
    "#这两行是搜索和拟合\n",
    "circles = find_ions(a_gray) # 找离子\n",
    "amp_list = fit_gaussian(a_gray, circles) #高斯拟合\n",
    "\n",
    "circles = np.uint16(np.around(circles))\n",
    "for circle in circles:\n",
    "    rr,cc =draw.circle_perimeter(circle[0],circle[1],circle[2])\n",
    "    draw.set_color(a_rgb, (rr,cc), (255,0,0))\n",
    "\n",
    "plt.imshow(a_rgb)\n",
    "plt.show()\n",
    "print(amp_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a337a8af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "binaryzation threshold =  130.51190476190476\n"
     ]
    },
    {
     "ename": "RuntimeError",
     "evalue": "Optimal parameters not found: Number of calls to function has reached maxfev = 5000.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "Input \u001b[1;32mIn [6]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[38;5;66;03m#这两行是搜索和拟合\u001b[39;00m\n\u001b[0;32m      5\u001b[0m circles \u001b[38;5;241m=\u001b[39m find_ions(a_gray) \u001b[38;5;66;03m# 找离子\u001b[39;00m\n\u001b[1;32m----> 6\u001b[0m amp_list \u001b[38;5;241m=\u001b[39m \u001b[43mfit_gaussian\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma_gray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcircles\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m#高斯拟合\u001b[39;00m\n\u001b[0;32m      8\u001b[0m circles \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39muint16(np\u001b[38;5;241m.\u001b[39maround(circles))\n\u001b[0;32m      9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m circle \u001b[38;5;129;01min\u001b[39;00m circles:\n",
      "File \u001b[1;32m~\\Documents\\the quantum computer\\TODO\\IonTrap\\gitee_klab_control\\cion_master\\cion\\emccd\\auto_detection.py:127\u001b[0m, in \u001b[0;36mfit_gaussian\u001b[1;34m(data, circles)\u001b[0m\n\u001b[0;32m    125\u001b[0m amp0 \u001b[38;5;241m=\u001b[39m data[\u001b[38;5;28mround\u001b[39m(x), \u001b[38;5;28mround\u001b[39m(y)]\n\u001b[0;32m    126\u001b[0m p0 \u001b[38;5;241m=\u001b[39m (amp0,x,y,\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m--> 127\u001b[0m popt, pcov \u001b[38;5;241m=\u001b[39m \u001b[43mcurve_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgaussian\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mz\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmaxfev\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5000\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m    128\u001b[0m \u001b[38;5;66;03m#print(popt)\u001b[39;00m\n\u001b[0;32m    129\u001b[0m \u001b[38;5;66;03m# amp == popt[0]\u001b[39;00m\n\u001b[0;32m    130\u001b[0m amp_list\u001b[38;5;241m.\u001b[39mappend(popt[\u001b[38;5;241m0\u001b[39m])\n",
      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\scipy\\optimize\\_minpack_py.py:794\u001b[0m, in \u001b[0;36mcurve_fit\u001b[1;34m(f, xdata, ydata, p0, sigma, absolute_sigma, check_finite, bounds, method, jac, **kwargs)\u001b[0m\n\u001b[0;32m    792\u001b[0m     cost \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(infodict[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfvec\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m)\n\u001b[0;32m    793\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ier \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m4\u001b[39m]:\n\u001b[1;32m--> 794\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOptimal parameters not found: \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m errmsg)\n\u001b[0;32m    795\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    796\u001b[0m     \u001b[38;5;66;03m# Rename maxfev (leastsq) to max_nfev (least_squares), if specified.\u001b[39;00m\n\u001b[0;32m    797\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_nfev\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n",
      "\u001b[1;31mRuntimeError\u001b[0m: Optimal parameters not found: Number of calls to function has reached maxfev = 5000."
     ]
    }
   ],
   "source": [
    "a_rgb = cv2.imread(\"example4.png\")  \n",
    "a_gray = cv2.imread(\"example4.png\",0)\n",
    "\n",
    "#这两行是搜索和拟合\n",
    "circles = find_ions(a_gray) # 找离子\n",
    "amp_list = fit_gaussian(a_gray, circles) #高斯拟合\n",
    "\n",
    "circles = np.uint16(np.around(circles))\n",
    "for circle in circles:\n",
    "    rr,cc =draw.circle_perimeter(circle[0],circle[1],circle[2])\n",
    "    draw.set_color(a_rgb, (rr,cc), (255,0,0))\n",
    "\n",
    "plt.imshow(a_rgb)\n",
    "plt.show()\n",
    "print(amp_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b89b4ce2-fbc3-4cd3-9c7d-f66298546f13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "binaryzation threshold =  149.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[267.1424145325484, 282.4277596385388, 271.4776537944831, 276.5732865940904, 288.2361988145941, 274.8602384103917, 273.3486462593496, 268.3396665248223, 282.8830168959788, 280.48744834978214, 268.7097562168574, 272.18709540603874]\n"
     ]
    }
   ],
   "source": [
    "a_rgb = cv2.imread(\"example5.png\")  \n",
    "a_gray = cv2.imread(\"example5.png\",0)\n",
    "\n",
    "#这两行是搜索和拟合\n",
    "circles = find_ions(a_gray) # 找离子\n",
    "amp_list = fit_gaussian(a_gray, circles) #高斯拟合\n",
    "\n",
    "circles = np.uint16(np.around(circles))\n",
    "for circle in circles:\n",
    "    rr,cc =draw.circle_perimeter(circle[0],circle[1],circle[2])\n",
    "    draw.set_color(a_rgb, (rr,cc), (255,0,0))\n",
    "\n",
    "plt.imshow(a_rgb)\n",
    "plt.show()\n",
    "print(amp_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fff9c63e-cfa1-4f6d-a469-908af09f1ee8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c50db8e-e05c-4959-b199-805a14239fd2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcefb44d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eebe3fda",
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "Optimal parameters not found: Number of calls to function has reached maxfev = 1200.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "Input \u001b[1;32mIn [6]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m A\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39mexp(\u001b[38;5;241m-\u001b[39m(x\u001b[38;5;241m-\u001b[39mx0)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m\u001b[38;5;241m/\u001b[39m(\u001b[38;5;241m2\u001b[39m\u001b[38;5;241m*\u001b[39msigmax\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m) \u001b[38;5;241m-\u001b[39m (y\u001b[38;5;241m-\u001b[39my0)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m\u001b[38;5;241m/\u001b[39m(\u001b[38;5;241m2\u001b[39m\u001b[38;5;241m*\u001b[39msigmay\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m))\n\u001b[0;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmpl_toolkits\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmplot3d\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Axes3D\n\u001b[1;32m----> 6\u001b[0m amp_list \u001b[38;5;241m=\u001b[39m \u001b[43mfit_gaussian\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma_gray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcircles\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      7\u001b[0m \u001b[38;5;66;03m# amp_list are the amplitudes of the light_state of each ion\u001b[39;00m\n\u001b[0;32m      8\u001b[0m \u001b[38;5;28mprint\u001b[39m(amp_list)\n",
      "File \u001b[1;32m~\\Documents\\the quantum computer\\TODO\\IonTrap\\gitee_klab_control\\cion_stable\\cion\\emccd\\auto_detection.py:127\u001b[0m, in \u001b[0;36mfit_gaussian\u001b[1;34m(data, circles)\u001b[0m\n\u001b[0;32m    125\u001b[0m amp0 \u001b[38;5;241m=\u001b[39m data[\u001b[38;5;28mround\u001b[39m(x), \u001b[38;5;28mround\u001b[39m(y)]\n\u001b[0;32m    126\u001b[0m p0 \u001b[38;5;241m=\u001b[39m (amp0,x,y,\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m--> 127\u001b[0m popt, pcov \u001b[38;5;241m=\u001b[39m \u001b[43mcurve_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgaussian\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mz\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mp0\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    128\u001b[0m \u001b[38;5;66;03m#print(popt)\u001b[39;00m\n\u001b[0;32m    129\u001b[0m \u001b[38;5;66;03m# amp == popt[0]\u001b[39;00m\n\u001b[0;32m    130\u001b[0m amp_list\u001b[38;5;241m.\u001b[39mappend(popt[\u001b[38;5;241m0\u001b[39m])\n",
      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\scipy\\optimize\\_minpack_py.py:794\u001b[0m, in \u001b[0;36mcurve_fit\u001b[1;34m(f, xdata, ydata, p0, sigma, absolute_sigma, check_finite, bounds, method, jac, **kwargs)\u001b[0m\n\u001b[0;32m    792\u001b[0m     cost \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(infodict[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfvec\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m)\n\u001b[0;32m    793\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ier \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m4\u001b[39m]:\n\u001b[1;32m--> 794\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOptimal parameters not found: \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m errmsg)\n\u001b[0;32m    795\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    796\u001b[0m     \u001b[38;5;66;03m# Rename maxfev (leastsq) to max_nfev (least_squares), if specified.\u001b[39;00m\n\u001b[0;32m    797\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_nfev\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n",
      "\u001b[1;31mRuntimeError\u001b[0m: Optimal parameters not found: Number of calls to function has reached maxfev = 1200."
     ]
    }
   ],
   "source": [
    "def f(x,y, A, x0, y0, sigmax, sigmay):\n",
    "    return A*np.exp(-(x-x0)**2/(2*sigmax**2) - (y-y0)**2/(2*sigmay**2))\n",
    "    \n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67bcd312",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0abd8603",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "68 199\n",
      "4\n",
      "52.4\n",
      "<class 'numpy.ndarray'>\n",
      "8\n",
      "[287 197   6]\n",
      "[251 197   7]\n",
      "[200 199   6]\n",
      "[230 218   6]\n",
      "[268 226   4]\n",
      "[337 202   4]\n",
      "[308 226   5]\n",
      "[271 169   4]\n"
     ]
    },
    {
     "data": {
      "image/png": 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xxDlaTkZ6Rk9GjATVyncaCLiM0Y4Vh4tD8f2m02mOjo7aohTztTynVojg4NAn667Bh1EcAR9qAsDB2NAX2wDXOIPELsy1ooPQPw72dpTOTjksPygEOyT3y8HBgdRgA0TqjA15m0/3BDK0EZ85SDjDpj3mwdED2m078foGgwloPGcDlW4zYqcdn/jEJ3Lr1q3LteLQB0q6trbWHBbCcU0iyoPDnEwmjQYBzTB4PlAS0C/GYARohGZEZbJ/c3NzkMbgFPiMVJZ0Z319vRkHE0cYHxOctAv0ABIBmdE25AICSHJXG4ni9JcAwGSa+V3+TzJIc11O6OzEiBmnyHdVucfj4UIIrjG148oJJoV8L+iB0WjUSuxol9Eb48/Y7e7utrrgmnYeHByk67pW23xwcNBK09AfxsvyQaa0F+TF9Q6IODOQGAGIRS3OGkm9QV3mVjc2NgYTtnCe6C1toN+ekJpMJtnd3R2UPSZpVICBDNesr6+3unH6yRgybsiaPrt9DpQu8TQ1Sd/RZezUc0mgccbXAQV9djZJAHSZIDZNm5HfdDrNwcFByxCTc4rMQRtdwk5YzWhk7/PIvmmjqS+DqOQcyKB72IZL9e51XAonzYEAaHQ1smTpPKyQdmZcgzMn6jml4rpkmbr4eY7oRrAMCsaBcmFgZAE4KtoFunNdNEaFw3GqxLXIw+iOz3FWtI2ghkK4T6AxByv6Rx9og1EEh9E1beb5OA1/D9dq1IAzoa1eKMP9kBMGY77WQQhHbyRIvw4ODtpnHivGArTF/aEu+r7P8fHxoFbayAc9Go1Grd7ZqJr7OsijC64g4L5M3Npgq87jSAnMTsPRR1MW6AZoEhnYqThYO7syhYUtIgfa50U4DkoOaOgx7eR/248pLiN0xtmZM4ANPUPuyTkws91hYxsbG23Sz4AKG7CdOwNy1ogeONCYUvQcjTN8AJQzbP52Rkc/KkW46rgUnHSyjFQIxOiQMja+58fRG2cIikqWnBzGaqXxPTypiCHaoYIkrBCgWyK6uSUrRpI2QH4eBl73VeA8rnMQwQBRaNoBlcIKOxuyqZ/KD3uijDHgsAIZNVthMTorJHKHw7eT46emfbUSBURCuw8PDweGu8qxjUaj7OzsDCZ7rDecBy86nU6zvb3d5Ow+4+CcVbgaACdb+4bDYWzJBOgjPLzpKgdEKD47M3SQIMI9kDfycpvdd8aUwGInwzUEPGQB52yqzZNfdRUf94DjRc/5m4DulL9mYB532oFNIX9nGs4G0H1XV5ij5n6mXmgL9zblhCOnv5YzDhUdMs/sCjVf54BjqgM/dz8UnVwiTvo7vuM7BhGSzph7NLpxisF5jpggNRCIeTRHRYTF/UwlwCmCOI6Pj5tDBM1STeK6WlI6p5aemGDFYbJE6E5XGVQQmBEafbVyO0AkQ1TE9+birFCgQPoPIkf5cfbcFxmbkiGY8jwf3Ie+EjCNxpMlcuOZODUbRnV4GCvXoQM4eI+D9YNrnHklw93iaIfb73kJPieAWwZuq/tpxGdn5+dVh89h7tkZiJGn2+6gYkqCsWdOACoMJOiJLmdiBjU83yjatAuHaTTKUK1L1mHrjWVPZmZqhclF5Io9o8Ou5TflaPTuwFBlaFl74t06Sb+czVh/nOnZf83nyzUYyXLu6+Mf//jl56RxJBwooVOJZFjyhLNapaTJcqkpCm/+xzWLGLnLelAap2oIFEFjmOagMADa5IhuJOH701ZHd+5hfh4+C0PFqGqAgCYwiiDALBaLwd4i4/G4La3FiRFcQEtcC4L0M5ABDgf0QX11MtxLwoi70jici4wZYxtdTd1NJaAL29vbzRmCeHDeDkzWJQ4DADhYL4pCDugS41gnf/neZZTMQ6DHzFHgAOyITKnZYaE7XIudoHfoLugSmTj7ms/n2d7ebnrPT0Wn1jvvtcIzCBIEbOs3Y0iwsDOn/9ZjHCAOlb8duJKl82PxGlmD65Nr8DOVxrjb5uiHJ2nRV+YG8CPOwrmHAeCq7RGcPWGDlRq733EpnHSyLO2yQtk5epBslE4rPBvuA2ddOTcOEAUTg0nuGnw/xwOPI3M6ZqQGUrGBJUtKwM7WvBnX8GxQ46p7oWRwa55Vpx12wkaeNkyU1hO2ziSMRPmfMfPkIOPJeDmw+B44Wcs1GW5iZEfE+Jn75hxnVKsW5iRDlI/8eY6ReEU8Rnaj0bICg/4YJECDWC/QCT5Pzuv/WXzU930zXmd9jImPGtQZe45KEyBXskQm0KgAMopE9g6oyI92ew7D/xuFMrYECZyUa+ItPzJL00t8byrAbWF8mUeg/Uxqcr3lSH8cRNwv5G752u+YRuT+zlj8THSGoOHM1vZBv+53XAonbYU4ODho6SMLAUgTUQTTDbu7uwPkkdxdH4rwnRI5coM6QAWOuslyg6NKuxjtgPrG43FTHJ6DQ6GvKLDTKVJCZs3tvLi2Kp+NCcQzn88Hiw5AfTzbtAf9oC2gBvO6dtwYnCdHq4LVBUa031SJeTyPLUvRzQeCTip9Yz4YLpfD9JURzdnZWba2tgYoFyfM86BH/Hz3GxBBMKhpLLpJNuKxNqVx+/bt5jhwqJxv7tg1yIz5bDYb8N3ODKnp3d7eztnZWQsEVNGg1yD32WyWo6OjXL16dTAP4XkctzE5r3jwwg0jT8aLfjoD4MfzDbQHvcRekSHfU8XhQO5gRoXQzs5Om2thPgPbts0gZ3SQwIu+OPNwBo7skBNZKO1At60nBigGWHXNwb2OS+GkkzTnzA5ySVoahQPx7D4O1SVlIGLQDgOFETpSerDtROzQECwIxHydeT4Uy3yWU0Cn9AQFp8v8VGdlo6adDlI+cBrVYHES8KmUfSEDG7pX67nkDhSGwzXlgBLaiRiZglYxOO7JxKsXdXCeN3lK0s5xOupMxvMLTtuhBPgfA3Ym4bTbVIUDiSc2ubZWjTjgcw8HCcaIPqBTPPvw8LAt2mGMOQguZEnWGxy2d2LjfgSXSjEhp52dnRwdHbUJV6gt67TlQptYnu5JWU+KG1k6i+Cwg8IGne15wi5ZLuxxH7a3t9uEMpmyAYoDCkDPPsKgCXteRcXU4Fr339ja2hroZZ1XMN1JGSb/mwL1eNfjUjjprusaj0hExQEQ/be3t7O2tpabN28O+K5kObsMP4kig7JqWtL3favJtsNPlvwjKAuh005zn8y2E0BwEBiaUcnJyUkLQKR3RuoYsB2gN+rHcRiJ2FkYqThjwOEmyz1KzBcbzbhoHyOqgQn5ebWlU7vNzc2WjYzH42xtbbVgYcTliReeX7OSZPiSAzIMUlocqcfRKNbL0OkTabKzJVMiPNv9Nk3CvUHO3B/5QZExvjZ++oNOUNtraoCDqh320QDhMwFn1ObAYT02ncH42V7G43G2t7db/27fvt32nUFGBP2zs7Omv9BzlgW/nekgWwfTrluuVFzFx1qH6Zc5YPTh6OiogRlTTLSF+vdVuoNNOPshyNAG7PjKlSsDZI5vMuBy0PccAP4IvcPuzEtXGmTVcSmcNIPlgatcHwtFHLGt2AjJe3Y4JWawjAo8GcYg2+lUbqzyrE7fqvOkPAdnUCcYCAbmou2YXLdsx58s64gtKxyoJytcRcHni8Ui165dy/7+/oBHo511Eqjynk6zzWXzmasOjH7dv5oFIDcOp760y7JhX2UcPgdKb71BT3DmpnxAV4yjuW9PRBnpo0PMN5gTNzVgp+HrkBltRM+MskGWRv2mrkwVoA+0b5VeVdtyn83Fco7LMm2jpslsF+i5gYKzS0AG5xuB1zGw83IA5CAY0Q5TdrTFpXGeC6gZom3ema3nKwiiDnSWUZWvfYDtC7322Jj6uB+SvjR10iBmDJDoBW8GSmEXNc/agzQwFBDceDxuq6iMppwSM9A2ChSlcoQInWuZIWc5Nosj4EjtzFyOt7Oz09php+5VdJ7oSIaTSDjR9fX1VvEBoqDNXkDD80nX9vb22v3IPOgbBuW0DMTHjmPJUvHY9Q4Dwfi4HxQOmYHRA/3DIVYunCzC3B2y5lojSr+miXHEaJNlcDV1xHhyYHC0xRN0NkScA/pBPz3O9MnjiL6ZLkPXkNl8Ps/u7m4LtIy1X2CBo2QfFvpIZsdzJ5NJq3v2+zexMQABvC+2YfTPWJ+cnLR9q+k3Noh8aIdrrRkPO+kapAg+yBDaC/oC+zeFQDuwO1NSjI+X5IOwTXU5UGA/yBZghZzQlZrFco+60pWKGOsYOmkwga3e67gUSJqDAei68/euuUrBKaUjaJJBCoETwbHiAFynaUfsCGnOywro1GYV14mhOWC4DdwPB8jSVAzGXDBGw0SIo615QJ5fKQcb/qpJDCZRjBJIG/keRIZiwu9j8MiipvEoqMcsWVZrmNe0o/HnpmusExyk8MiNyU4M2YEPp2ykar2pdFk1WE+M2dhciVQnSSufakrL39loHVD4zGk1jt+IjfOQLXTI0dFR7ty50/SLgOtxtyxxiNAqyXC+hnFgXsPBkefaMfLd0dHRYK6H9iZpW69yLg7TY0Eg43+DFlBvdXKcgx7hKI1evULWCNZzP9ir7dfZizNXgzf/Zh7HdsHzuT9ywObudVwKJw31UJW7KirfO52wUeNwfA+U2+VODJLTLKflODyX0HFOskz9KheMwJM0btJpEUiAexNATI2YxzQPZqcDOnYt+fHxcdvW1ZHadcSVd3VdrRU8Wb641ygZFMlhI8TQOIdneEKLvkDH8OxkiTBtnMjcrz8y54csaBNvv3GwRW7oGW0zXUXWRvCtzs+8P32ockVvjo+P23sVjfjqdrMEKfcFuYMKnVV4vgDZcC26bmrME6ogQU/QsVdM5VjJEPf29gZvNHdmYCeF/tJ2Ds8Z0Vb+9oQk1B+2R3ZnkIFzxBarA3X2tr+/37IL7IKME/vkWuyUz7FXxhdZ82Nd9z3qvFDl4Ok3VGJdzYyc7nVcCiedDF8FVTk1lJiBM7eLgoEK7IRdn2he12mWeVXaQSDgp1YEcKAIVkgCilMvG7cDCKgQlJ8sq1QqAjaCQC5uv5eG2wh4Jv1zWukUFNkZ0ZmuQSae3OV7/rbD4BlGgB5nFJ5U347ZVBT3NYqpnC+G7P2WLRtTA0ZldsjVASI/jJb+myrAKTPuBC1XODj4Wb9rumzKwIjeY2Zqoeoq4+A9JziQHdmZ9SLJgIYyCOCgLbTTTsgBuuqekaXH0zaa3F037azQ/sFyQmeMttFj+jqZTNoGSjzfVBTPMXggkGEzpqEsZ/Pltn3bTLKcJ3G2gP1sbm7mzp07A1mtOi6Fk0bIRsIoEErnc0hr/bp2hIsT43OjbKenpGNWwOrUcZg4Ua+zXywWDb0mywkzvz3Fq5S2t7cHaAQ0gPI4olYF53OyCT5HWeDfDw4O2jM2NzdbuR399HapDjxeOus6Zc6zEfFs/scxkcZ5qTj3M5+LgTMRzAFi5LA8qBhxMDDl4L2xHcA8PzCfz1vqy/iiL35Zrif/WMhDv6DaHDxd9mkHb7qI55vT9gSrUWWtKsH5GLliG+ggzsaOAP0nY7KTpQqkrn6zbKwjoG8HAPhWO0Yv3HLbka9RstGoHawzUAdwr3q0Q8OG7C9cmQU95bUH2KnlbiduOnA0Gg12aUQmIHLs3W+Nt49AzrYVxgnAwz3vdfyenHTXdV9KspdknmTW9/23dl33SJK/m+TZJF9K8oN939980L2MNu2kEJQFgLC9jJY0yGVYyXD3NNMfF+2/yynzjJqWGtXjAIwwXctr5N915xvW0CcjW3h3o3mcjhGJywhRbAY9Wb68122qVRg2NG97itycllU54DhGo+EkX5LmbI2c7TiRndN6OxmPD+cmyZUrVxrKsPydCWBgjCfBFOdHMEAutSSN/hm9OTjY8EhRK3J12uxg5FSXcXM1Uq2TxknYsRg90l7TbIAay9Ry4XNXNDDe6A06idOxPVnmBhMGUn62MwjGg/v7PPprOtDZj/vozMuAzFmbM2vkSbmgsyBszWNVNzhCD0zZsfycZzjjdHB0m7iWyV7bmWkqB7l7Hf9LIOl/q+/7N/T/X0zysb7v/3LXdX/x4v+/cL8bOPLY6EC33juhojnQT5KBUXohTJIBWnK6nywDRF2VhWKCArxfNQ7HXCHco/knp8vVefMsBhGlZt9j2mekiwxqmuxJHSI0ThnlAAU5dTfPh3OzMTkQGiliNGQzNihQgg0O2TkQV8rJjuqtt95qY+TqGlAt/fcko52501dP/tgBoV/WIYMF5IhcoLBcGVKDBfpXHRxtOjk5aRVKHDjNmqGMx+NW7WQdQu9rQEAePNt0hCff6R/98YF+cA9TH5WTxU5clpYs99z2s53dQO3hENEvxsEFA5zre9vumNsh2DOGpgY9T2Pk3fd9W5+BPNFdBz100HXh+Atkblka5JDxYW8VtGBH9zu+GiV435/kRy/+/tEkf+rtXISRkD54gsLKgfLhlGyUDCwKi0F6hplU3kgZx0Nq6Ak1Kz+UB/ey4+BZNg4CAu1MhjWtjsI4KNqIE/EzzPvyN2k77eS+lqnTTz7n3PpMUxsOLPB/PNtBA+MwImJMOIwm7CyMejgPAzCNgCycUTlw0E9PJpn6on2135ZrRaHWDT/bVEJFTxweO+sf5zlYOphxHdkRbXJgwPjNL1v2rvtnUrqifIJjvY/liV6gtxyWHWNmOZJ1ODhyHXZLO8zh0zfbCWPI8+zU0CPrCG3iOpw011WKjbYzvs4+aTNjw5jQTtruz6yfziCgBGm3/ZHbtOr4vTrpPsk/6rrun3dd9+GLz57o+/7li79fSfLE27kRAmQ1EsKHs3F1xng8bssxjVKsNKBqK645X6M4BG7ul+CQLF/GilPEWcNrJWncJgeDY+7KRgfl4DejMwvf98s3VY/H43YtCuOyIn54Jn0j2NVNbUzh2PCM/pLhRlauH/Uyb77jfsiGlBhKxxtf+b4YEW3m/g5kToFr6p8s3+YDZ40euXbYdIPvh/PDuEhN/QYSPxeHVqkwp7Js0oVsva0B8iDTcnuR49HRUdMtj51BSg0YtIeMxbsgEnhxjsjCGSm6b8oOm3R2Yz3HJuhDsgz+PBs7OT4+bnpanRzjY3qOZxmsoSsVQLFiEpQO92yqyeNhTtxZI/bBXhwbGxttHol7oLdelOKxty8j43NlkulJDnTV19fj90p3fLDv+5e6rns8yU91Xfdb/rLv+77rupXTlhdO/cPJ8hU2KIjTd6Ipn3vCCGX3whCECh8EVeGBwhiMwhH0fD5v35mfQyns7PjbL6o0ksWhWemMFDjfk1E8y9HYKb0RGsHEfed+brvTPPoIMuOaOinqdI7nVlmZO3SwMt0AZcDn5qpdkYPzNco1SgXlONXmeXxH4EW2td12IjglOyucop2eZYIjYIx4RkWM/O0KBC8Br47V29A+8sgjA2dWMwUOAj66YH1BNwmazqiQn/XMOuoUHdlVSotqEOTOs9HnWr6GTED1liXfY5u2fWRAu9E9I2uXYHJPv/jDmQRjQf8BWZ7L4N4AppppMRZ2zOigK8Ssc9g3/bWsQeLIYdXxe3LSfd+/dPH7ta7r/n6Sb0vyatd1T/Z9/3LXdU8mee0e134kyUeS803/nSq4bAt0hZC9+1blIJO7J6pAT05rEL6FBGrivk49rVTJ3WmXedbKl4IqeRYG67QvWZZPVQM35+eBJLrXlBo50g7PbIPQWMnm4GFqg+CGMtM+KxxKiVHxbKNiDhzDfD4fIE0jOxy5V30iO1fBYBiz2WywpzUOlucxLjXVNirDYHG8Z2dnLQPAeTo1d0BxUDWg4Pm0CW6Uumna6Y2PPI61msm/K/2Erp+dnbW9LDjHtcd+QcOqCVA7ISM6p/7orymByv9z2CEhS1OBtqFkSRNg9w70piIZAwI8Trq+6Z55FGzeAcuZGA7YtlNBj2VPoHAmxUGgwEegq/gfc+Z+Bm253/G7pju6rtvuum6Xv5P8O0l+PclHk/zIxWk/kuQn3s797GCM8EgpPKFgNGiUZe4RR3wvPjtZFuGjCEaQKKBRmqssPGA414pOaYuVk9SO55rz5G+jZe7hgbQym7M24kcuVhqnpw4sRuoOGhifESWH72Uj56BtdVxM6fCcei/LhH74/si53sPB2gjPFEE1ZmRnXpK2Ig/OsRPmf1c+0GYOAgGO3PRS1XnAAnriygs7Ro8J7XQgd/ZVHTttr06iBl0HQ2yQNvDbNsLnnu+p2YIpLtrB+FrHq+3YnlcFkEp/ELj4Mc3JdfTd+oKN1Oe4DQ7uyM0ydkCt19uenIXU5606fi9I+okkf//iAZMk/33f9/+/ruv+WZIf77ruzyb57SQ/+HZu5sjqFI7VW+x8trOz09KZOis+Go3uWtBAdYPTN85z3Sznci9P8DhN4jsQTH2PnTk313FXaoF2e6ISBMAeJUkGRktkhuesCADkPJ/Ps7e31wKbDdp7L/d932qBvfR4NpvdtYweZTR6xgl7n2UjpUqNgOR4Hiifc0CqvLkajphxoT1edt/3fasJt2NhTFyRgbO2AzFHCSIzKsforSd2mOgGDoHnUJqI7EC53r4W2RlR3759ezBx6ZQfG6jIHadb51Qmk0mrnSebIqigB3aMbHnq1ZHWCWQBVcS48b13mKMNs9nyjTMVVFQ06czPGTF9xzb6vs/Ozs5dNIgBGfJwgDb37+CHr0GmLkow0PFhoOjrDTBoF31Kltvu2s9wv3sdv2sn3ff9F5P8gRWfv5nke38X9xvwODQaJwL6xSGQ+mBUpMYovTm7ZPi2B+6TDGeozf+CVuwQrTRch3L5XjzDi2NsiDh57uV9MxxhCSwMOudaaeysrTA47dls1hy+jdsBB6NDwbxQoaKX2i6cG/JyCosjTJaIx/yogysohOcbjeDYLTMQm1PfipDstHgOjsAysLF6koxAbv7WqKmOK7pi+XucKpp3kHW70Gnrmcs50VfO85ia3jMF6H1gqs468HjxkbOoyvtadr6Ps0JX8iTDDNB0Es/jGvdvOp22hVIOsnzvkjoHAIMFU3JQarVskGeuypzot7MBB207aQNM01H4J/sP39/6Xo9LseIwWabjGDwGa6dJJIZfNU9lbtZ1lq6K8Awr1zP7imKBdA4PDxtqJFUhUMDzYfwgT5cLooRUbzDhgaLaGM0/14kRKzmDXyeNzF16dZSdOW1HZg4eKDHyQG4YhutBvS+2nVWdSLJCm4qwcntOge9tjBjx0dFRa3Mt/DdysbOyw3ZbK0JF55yKcv7R0dGAi++65V7Ilhco0oHSFALj42zATqgGFcbaG+9YPszN4OywAS+BZk9v791M9uMJb9qIHRiQMFbYBzq2traWg4ODdk6d4HPWajTroGrn7soh2oodEqD9tiFTTNUumPPAjgh2zuboJzLxBLwDq/uGLwBpG1Byre3MPgnf41XOBgMPojsuzVal5u+SJWflVJtBseAsVCuyU1KjD4SIU7Wy2Kht9K4KwLAcCe1Efa3RzKpJhorAK3VhHtuK7nTKVAoG7LZzvfk/8+3VifE3z7ajR4n5MbLxXiUeC57D9b6XDZ92E1Bt4MwFWN42KHOEq55Fe3AGBwcHjaZyn5BV1ScQoceGa40E0S9nBciUNlrf0AXG5168N+1yAPFEo6sKrAOufKmBeTKZNOTvjb9W6RH3NjCwfJwdWE8qB+370DePgbMQj7X13OPvTMwVRDjFZFlhZYDmtlS6xP1DFyu9xPgyrg5M7hNttW+xDJ3t3u+4FEja0c2p92w2y+7ubot2RC7SFbhb1wojgIpKuSf74XK9eWjQE0oAT4vCgUo2Njayv7/f2kykx9iZQOF/UDtGdXh4OHhvHwbk/QSSpQLQf6eR1QDNsyEH/ga5OKghF5ApS9RBfkb2oLrpdJqtra3GMZqqQb6+P0pORmE5m1pxwHAfa/DhfuZKk+VmOrUyx9kYskSuBC2ygxqsLEuoAmdJ1kOeYVrB8h+NlkuR0SfGk6yFt/ugN8jFCBTaz4gMY/fbfryfB/LABsznk3FgM5Zp3YI0SdsWlvZDwSS5y1mb16cKh7a4xA87MKePnFy3bfTrrXXRI08gmtaoGSU+ATulrdzHb33nHM/jMPa0mX6ZNur7fvACZ8aY+bKuW1ZfYZfo5qrjUjhpBEJUcXRyam8Oj8Mpj6OdB9F8Uo3aOCucc6UWqmPw4ONsGHgmCOrSc9rA/UjJnNrj/J2WWulNJyTLCSycOHIwjeDyn4pQmeTBKEmfnQ0YwRgZ853pB/OaRpo8t6aRjB33toFiCHZ+1QEwVg5s5qCNtJ2hmPM0nwlnaCrCGQM6ZYoL4zcYsBEbgdvxOzj7HkbflcbB6WH4NdXnMzt1z31YDs5S7OgcVCo6ts1UzrtSV9Z595d7mz7henSOcz2ZntydNZueqJy722Hg5HbwLE+A87kBg9GzOW9TPM70aSfXGWzwLC+aqusEVh2XwkkzkCb0UUIMEjSIIsNV8bkrAEB23oLx6OioveXDSgUC96AjMDvfZJnmgHhc2VFTXNoM2nC9qLkolIlrkwyqQubzeUMitKlWYnAutAAoyJMloCCe69eREcRoC2gMtGfEXpXJKRuObjabDZBdpW/ol2kpjkrt0F+cuVEqsrEhmvP1eQ7+BAX6b27VCNX7n6ytreXWrVuDfjkwIbfFYrlIgols5G854Qj5n7bTLsbLQZXvQbHoux2kA4l10gEbZ2Gut2ZOXF/po0oLGoxwMAardM16hBy8wMlBoQIcnLQBmLMQ9MuypX3epdGAhb7zfPPO9ktG9DzDsq1Bsy6wszyxS68BsPzqcWk4aTrDq3+MFK0ERltGHBX1IGAbXeWGODw4bo8noFBwR1SOWjdplO2+OXUHcXMNPyiiUa4VyoZnxXd1hvvJNf67Os2u69qKN66l7ax+c4rH73pvDMMKa/RtigYUjpHgiBkPGzEGazmYMrGcjRppN4ZktOQJSCM0/ifInZ2d5fDwMLdu3Rqk/pV35NnOxnDwybIqyQsqTA9Vnpv7eeKbz1xz7cynzkWgv74/1/N8xpg++3qCmx0WB3qBHllfbatGzZzLbztaAhLjxj3RS8vJGRrtdYUUcnFfDPysx3VbBeRQMwFn1Ry2P2eLlYLkPjVLt97e77gUSDpZlvaAJGxEDChIAiGyo5gHMElDzvVNC1bsmvLBS+JIvHcuQnRaZcU0GvK6fgyUUi6j0mS4pNlOlIPPnVrRftM/dgSmLLgfCJrza1pMDerR0VGS5U5oHhtPLqFsRmM1YHpy1eiYAOH01E7D21tyjt8QQr+p+aVEDoRYxxnk66zFVTp29K4gcP9BO2tra9nd3b0r3aWdoDpSWE9OcgBCPF6uyx2NRi2Aex8T2kM5pekW0mf6CPLb2toaUG/JcH9w2ouOIb+Dg4M2B2GdY8zN69pG0G9Xi9B/Z4z0H/kRTNAFnsX+JWSOnvhDH/EZ3sLANeDoBofr5j1nwZi5ltzOFJ1xwGR8vDKVvpmnJht0P3hfJLKtQMHHpXLSDFStX3XqZJ7PisJvD6RRnJUJgeDQKkowsjXadHQ292g+2Km6oyXXmFbA+JkQMhrzteZkeUYtM3PaZF6uok/+dtmZz/EkJ9dYTvztzWX4XdttmTgD8Dgmw61YvcTcQcVK70yAgMp3RjFJBmPujMzox/KsiNAUiSkFAwIjTdrJd3aepkfQM3QHvcXBOltD1912j6XthSDG/S3vZFgZY2fJWBmduiKFsbCzdubq9lVao++Xi3ncfo+h1wis8gOm/wiYtNfIt/5GX/jftmq5W+ectRgcMKcB90ywAFAQ1Age9NVjaz2wXt3vuBRO2saDADwgRoyrUBh8n1MMIqMNCwVw6l2rQipP6v+77rz6g53GkmGtKc6E+/C3n+1KCxSYe6A4dk5eZosB1cmr+Xy5yIW+4zSRhxc9uE1wnc4Y6HeSu1CsKwK4BpqKvjBONWChoC6xqgjJ6IU+GPnyHAzBbSNYEPj437QHfSK74qjGi8zJFjwGvr8DRd/3beWj31xuQ3WfaZPnAJy+e7w8yYme0RbrMKVo3gTJjtRo1dmkVwi6tt9vW/G8gxEiOoId0w7rtOdDjEQ9mUufkA39to7AP6+vr7dKLds111R+mx/vaeKxxl7dTu7nDNu65qoQT6AnS8TutmGjDlIGkfc6LgUnjZK7qNwpoYVqJMpA01E7BzsdnJudsGsq7Wwo5cJAGRg79GT1bm1EYhTLRs1Aesmug5MnvIwgeBaOncE1CnRQMeqh38kyCGHglVP0M42iKu1Be8yB+jAP6e/tLKr8ME5kxdhjUJ5YMn9o43Fq6cyK6zwutKNyjU7PHXDpO8HN44y8kuFMvhEX7XWAQu6eS7Cer9I/BwrTTvSDNjh7Mdr1fZy1+b7WW/pgp14n3nkmi7LQVc4x71p127rpzMEAhnNwyKsyu1WZqwMBz7Au8Py6vXDNWCxHc9qrsnDPx9iPseDJYA/9qRTPquNSIOlkuMCjcpjJsmO8SaEqfCX6+dyrk3DocNbck8g/m83a/gUm/XEGnOcgABLwvfncXLAnsIyUnZ5xndNiK0lFVbR5NBo1bt6pbbLcRtV7RtBm7uXgVpedGw1huJzP+FBNUg3eSMRpXTWCivjoN59X9MoPbfJ2lXxGhuUVrE4reR51w9Vxk1JjTBil9RH9se4xfsfHx9nc3BwETNCUkXKtzqiUjrMj65KRq3l4+lWrnQgc2AY6zmfcdzxevnsPu0RvK3XkiTDkQtusN3bs9MF9sX3yubMY24fpONN6DlLJskIqyUCWHkvrKvMHdYFPzapNdRn115XLjIHrpVkv4GBmuvRex6VA0jZkiscdWekgSt33fUsnmVxgwGoFBp+jpCDIJIMZf0fRVU50Fc1iB5Kkpd9GZ0Z7Rig4SDjIzc3NVvLmUjAHCiL/9vb2wBiNZEhHjfToP0rIBCfym8/ng0U+VQb0GflOp9McHR215dpGzkYbyRIBJcsFFJToMeYgZc8x2Ckzpn61GSjJ502n0zZx5wyFwwjKyBBDo904Mp7lN8ecnZ21lwxY3wAOTAaiDwRqT3BDM3lyHN1xMIYe8yQi5/pFFA5o9JPr/D/3d4aArSwW5y/exb7ITJNl0PMeMOi9kawDgKk+nO3W1laz7Zr9mbrif2ecHifs3atcsZ1Ke52enub09LS9lBl5IZ+Dg4MBrea3v6Pz3NvUGv7Df3MN+u39w8/OztoLCrDTCvjudXT3+/Jf1nHt2rX+Ax/4QJK7y2CIsPP5vPFQTpX47VVMVIjgwDwbTVT1aiSU3FHQky88G6fHfb0XgtM7p6NOgZNzA3UVgSdITMFUOeCoF4vFwGkQuLgH/LAdGspjA6zIl75OJpOBjHmencAqNM99qUflvt5L2/SM2+GVa3DkRuIECsY5GS7fdkB3Oot87Jg9UWTZmq/lOs8zMJ63b98evE3Hh5/p+QJP1nnilTG37rnSAUM2kjRqNFrFqdu5+7lOy32taQXGjXZ4rFbpi2XL84xQOcfBe1Vb0VucvOcgKufvbR0q7cK1TMR7jGqGYn2yHGgDvxkP2uF5gdlslq2traZ35tedXdFH1m7YDmjjz/3cz+XWrVsrielLg6StRJ5UoaMoiIl3nITTWHOKVmbzjRggQkJQfsWV24UhcZh3ssPy/TlclsemN+YQnTbyv6OyFYc245R5DiV0yZJ7A1F6hRr3MKqq/QOV4NBQPNI/6lZ5hVKyTDGRvycCXY1jJ2Hk6jF2Su3AZ47bRmUHQEB23S/X0RfrBVkE4wi655xK1dBvEDwoG5lV/USe5qjRnxp4TSEYXeHMHGBxNJZ71VvmeJC5y/mcstMeo1syLlMedpDIGd2z3jsgO6jP5/McHh42PUJmpny43svBq97YvnG6yXBlImOGzLGDrlu+3ox2oRduPzrm1Yieq8ImrUvoNOeRHTN+yNn99ha/9wPLl4aTtoLSEUc+nJwRhSMb+xkkaSkRaZGdEA7VaSrPtrJVROF0LMldRuWB41p2yuMeKCuDiBJwPygUantx2MnSeXrmHhnQFnPpDDxINVm+Esirodj3gnORE3wq+6PwnNu3bw/OB2mbNzZ6SYYryWqVg7l/9AC5G1WSdlI9wvji2OmP017aDOoyKkKmtKOCAfrg9DlZVhfQdrhM99k8sJ1jsnQmrj6hrQYVtPPo6GjgEEyh2dHaoaJjDnC0zUgcR0g9NXu3Hx4eDipfoC/oA+1FVysydgByYDHoMe2CDfGZAxzyZ6z53IFuMplkd3c3s9ks+/v7A5qEiU90gn3WGScyTgMJy4j+speKq3bYxwYZk4HSJ/TNk832Le6PA1E9LgWSToZF+hhgspzhx7ER4Z2mOLVigHZ3d5tRg5CZ9ErOHcfu7m5LZ1chJwaspusoiI3GCIB7+JVcRleeGHEqD98JdWO+b7FYtAJ4p3/V4HAm4/G4IV1ebposnSCG5r24p9PlhutMIBp5mMbw5AmH0T3ygdrhZ319fUBvIGu3h7YSUF0H7aBEYODHGRg/OG1vCevza/DzwhpkwZhhSMjfk9HorV9+TNuNsIyMx+Nxdnd3B2OJLnnyre/PN7mnTWQLpnY4dzw+X8TCOCcZpNjO1Jg0pU937txp1xmwgLQdAF1Vw/Wg/brM25kvAYfxZc6Cz8xvI1dTlzg8I9bZbJaDg4NmO34NHTrjPXWcCdjRo+cuf4RbNn3JGNW5GPsCT9JubGy0MSboOPBig/c6Lg2SpvPe3LzyvPzv2efKPRlJ4IyMkhBQkvbWisoLYgxeYmr0TZvqe+pYsWcHZgRnZ2THx4D6XW0YslGxHTJ9QxH4nr4gB3O7tBnFwAnTt8rRenLUyJ7+kz46UzDfburEyNsIM1lWoDjYQqeY+8eBco/t7e3Baj367b1O7MTIaozqCUgEKtMNdugOTB5PoyeoIb4n8+BZDtyu7kDf7dwZr42NjbZ0me/sHCsC496e9GPM4GtpC/f2HA5OmYl6Pq+LjOjzbLbcSxtbsZ5Wx2b9RkfQJ2eh2ERF14ypKzTsjLe2ttp7UH29s4GK+JETgQc5sCbCsrVt0lbGwVka+kq/CB48j3kuZw33Oi4FkkZZ6QDCqjWVdgYYrme/k6VjBD3Y0IjYKJwXmTgFMYLg/GS4LBvn6zTNgYbPTb2g1JWTTu7eHQznVic1zOPRNyuPK0dW9QcjdtkasnEgcR+N1KxMFdF7/PjhPDs48/t8b9Rpg66cHZ8ZRfNsMqw6CVdXeiF3UljubYcAXYWzpm2g1Nls1nTOAWxra6vJnXu7qqhOSCNj87I4ZzsfUBfosWYzXiZNm5AD3LRRnqkH0xgGQ/yuY+KxNkByn+y06t7trkQyH2y6jbHe2NhoY4b8DGC4lx2m/YmBF3ruihPTDsgPAODMxmNgm7c+OWvg2fTZAc7667mAex2Xorrj6tWr/Qc/+MGGYE0P1HX0GINRV0WTNgb4UpCxUxJ/j9HaSSVL3tSzt+aRnVp5EKfT6eAtKXxOVOVw8MCp7OzstD0pkmWpoLlRX0v/V1UTOLpbGajfJIh44svcP+2tSonSe2+M0WjU5gZQQKNOjMuTmaZfcBIYCwEFx2PHxL1pD45gf39/ULMOKjQVAtKmnzgtOEY7UvcjSdMBBw1TCx7P7e3tgQM1SjcnzRh7EpSgA+IGgfsHHbZMcMKMB881p20qoyJR2keWQh89UWf7c+YA6vQ+Nc4ycFymq6yn5q39zGS4TawDjh2idcQ2gE0wpkyeG8R4jsegxc7dtoRcfE+eU8EcY8Nnpvb4/xOf+ERu3rx5eas7fFCpgFN0zSUHg4qQ4LZsSKRpnG/EbHRoXg8e22kQisFklZ+NowGpcS0oYWtra1BtwP3s8DDw0eh8QcrGxsZgW1U+d1BiYOEUacPe3t4gNcQpmqaw4yUo2sm4nK6mm345rrMbHNFisWj8mzlEb6qPEzQqYoyOj48HFQTed9dydtCEplgsFu1FDBUx0meMx8uJCbqj0Sh37txpRu70Ho6cQGIaDd2qY4yT8zsS0bvNzc2Mx+eVIQQ0AhHcNtcgG8+J0BYcmyfKcO612ge76rquTTxzj3qvrjvfXtT7m0PV8AyovbocerFYtIlmUK732TCAQobQOQYT2Coy397ebjqcLGu1Dw4OBlyzHaBRa/3BlrhX13VtTobsqe+X6zDQXdqH/Xg75EceeWTwv+ciuB55YkMGIPc6Huiku677m13XvdZ13a/rs0e6rvuprus+f/H7+sXnXdd1/7eu657ruu5Xu677gw+6PwcC9mSaheLf/E3H4HOJeBgXQq4pMxNqjsyz2SxHR0dNiWpbcHQoMdHaqBFnRMprxGLkZYPEiREwPAFlhI8yJ2llX1tbW4M6Wr+tORlWzIAcjARAAJPJ5C4KiPbRLrfTqN7VN8gJdOU0EwfshSvIjXFmUhEEeXBw0D63/JETzzg5OWnvI6zoCRRqpGqH7XJBZ3BOnT2PgEE7VUUPCcrJsl6b/tjBEzRY9cr44NA438+2HjqIGnnTXgdRByOPN+OCrGgPbaZNODLrMIiaiWyyGJyPgYCrkaCjkLeBjcGKqTbGDLqIzJVA4Dp8U0wVaNFn+GZTqvxmPgMbsvxx4kbvBERs3+99RAfsewiUBCfbAdesOt4Okv5bSb6vfPYXk3ys7/t3J/nYxf9J8seTvPvi58NJ/vrbuH9Go1FzbE7J7HSTDCKkjQUFYcDv5SDZGAnHYL4ZY6+I3Uq0vb2dZFnL7MHnnGSZijuyO8DUgXRWMB6Pc+XKlebYUChXtVy5cqUNNv3ibxQItEhbXY5o5OR6ZwyeNnmmnGdOp9M2wUa/+TxZ8o3IlHZjyHyOs/CYgPJwQsl51Q9tdrmgucw6Ibu7u9tS2ppSY4A+H51jLD1O9X87cgzUVQYEEPQKB+VNtBaLRcuCkCUBmb4DOsgITZERxMyH0gd01uibviMnvoeTt+3gsJK0FYheHYlNotvVmVoPeaapCe7trMBok/a4bI3zkwyACsDEQAX5bG5uNtkydtzfcwHO0Aho3ibBDh8E7azI9sQqVNsb59qHYXMEmMoU1OOB1R1933+867pny8ffn+S7L/7+0SQ/l+QvXHz+t/vzJ/5i13XXuq57su/7lx/0HA8aEcsTcUR771GB0FHGJG1VIqt7qtPlIGK6QmNnZ2fAPXN/FJNZ45o24ZBRZDi5yk1xbwYdJcJYfJjmMILx3rUYOpMc3If7o1iLxaK9K9JGa0RppAMiQq7T6XSwZBjHzfUYgJ2wKR0jBVfMJOdO/caNG3nttdfaeBAk+r5vdcIYHuh9PB4PJo9YCp8k+/v7WSwWg703oCTcR6M3zq8G6/O43isyHVy9XBljZ9ys0zgvngcFYsdkGgWdwwmReXi+xmPueQ/TefQJ2gDnyv92qAQIDjtX+maU6SBoHa2VWAY0PM/ZKbLkOfTNNs4YO2tmrNFLAz2yU/Pg6CryYXyq/My/49gZc4M47oVeGyxyfeXY8QHY072O320J3hNyvK8keeLi76eSvKDzXrz47L5O2tHYpT9nZ2fZ2toapNak13aMlBDN5/OWchghJ0sulHsnGRiNjYsBJrW2QnGdX8NjJI9ReQtTFG1ra6tFbtM5RhGgLBuMS+F4Pg4f5+zJsWRZX865yMQ8IGiEsiWck50LKSCO1jt6jUaj7OzsNLkRVHd2dnJwcDDIFmg3/9vQ33zzzQGiZDxweuvr69nf3x/wpk6tk+Vevf7x5E/f923CEMMiANA2c8FkB05N/YKByouju/DjtJ/2eR7ENBFyZVHFaDRqAdUU1M7OTpMHsvZ90RmPnSfTkrRFK95fxDbA2Djzc6Cq9dV1LwqcNrQPssRx0mfLGx3lWabeaAtOjPEwH46dUC5Hf5ADYIa2mwZzJoW91hprBy33kfaaPjNIcV20MyjbrtmA+x2/5zrpvu/7rut+xyUiXdd9OOeUSKvVTYbF7ByO8lYoIrVLtzxQGA4pqZ1mrZk1PcL/KAqK5h2siLhGVE7V19fXGx+eDJerenKHdrpqw5QP/UcmrjtGSVAuUHrlL0ejUQ4PDwfBh/P8HU6ZcaB9TgnpB+30RI4n5mh7VX7uDfJ1QDIHavlSz27+jvbiRAmovr4qP/c3DWWUY+PFOXkSqaJLUDzXM27oD+cTuHDE6KgpCveBPamRFYHY2Zn1FESGzLiXnZDHxUCEoFWduqkUnIurgAhCbg9tRRauE6YttX3J8uW63MNZgLl09NDOHrBGu2vGQnA2P+05C2RhOzZVhu2aW7aumMqxTaAz2A966+vQ3QfRHb/b6o5Xu6578mJwnkzy2sXnLyV5Ruc9ffHZXUff9x/p+/5b+77/VtK+xWLR+MkaVTlwaDhaKwwpqyOYUzE7KAzGfGp9Ns4FB2iURjRP0miQC3k0pAPnNJlMBq+19wREdbQOUJ6x54eaa9CsFZuZaFMZPB8ZQBvQ1lWoc7FY5PDwsGUHDpxGF0na5Bf/O5CB7OCeaSdGZPrHCoxBWhZehDGfny8E2Nraan3t+74hOLhXHA/Il6DplNYTmPUFDlQMYWyWo6mG09PThtYYL6f2Rn/OyOzIvAcIwYv7MkY4pFrf737A/7s237qErND7tbW1QeUHnztrQV616gQkaDqOTJAs13M6OFh/5iyN/tmJMo7OagxyPBnrvnKgAzwTrh854vitX664cUZhdI0Nej7BPgp7SJYgFJl6cZJXfd7r+N0i6Y8m+ZEkf/ni90/o8z/fdd2PJfn2JLf7t8FHJ0slco0lAmbgUAjvEex0M0lDZslwly6niea5MCx4bK7zHhFGZFURMMLq5HAeDMydO3fafRxdMVoGDEM1KqrOEQdoLttUB99XXpn74aCMZFl9RiUFSpksOVDfF7l7dZ/f2kx7mYTx7nj0B7TjGljTAij2lStXGtrnsBMkK2LMaI/TYfSGMXNwBDF7HJPk6tWrA/oDJ4Oj4zmgWFMCZHG1Qsm6audmlOa+E+hBwUa7pij43ym55z/gZZ1pOlNyGwx20B0jP4Kv9R2HyxhiR+6ng7kRfKUCzAN7nQNjSgB1sPH2vM5m1tbWBnMIOEVz0h53fEFy974tlj/ncz9/js2akjM4cM27J9TvdTzQSXdd9z/kfJLwRtd1Lyb5z3LunH+867o/m+S3k/zgxen/IMmfSPJcksMk//6D7p8sZ6eNVkEBlJkRxVkgggNIzh2zl9u6jA6ng1BtTDij5Dzara2tZX9/vw2IXwCAk0ARjVLgolH8ZLnooQl6stzn+kKug1WDtMkcF4bKeUycoUQ+SCGTu7lTp+igHNrtaxgDc9aeKHOqh3OnnfRpe3t7MMkI2kL2ODbz3RgibWGMCBqU7yEPDIEga4NLlnw8DsQBkbG1U2J8TANh/PQFZLW/v9+cvSe4nCGZIgDpYaxkGs6WFotF9vb2sru72ypY6EOyfN0W42PQwjNZCekNj+zsXaLGd6Y5KqfK+IP60HH6ZGfozbhMMTKWqwIGtmB9M3jg8BwOukzwItPpui6Hh4eDeQRTPOhmBX4E+NFoubqUrUfRb2yF8bAzxzYBIugYgYj2oM/ogak65Hq/4+1Ud/yZe3z1vSvO7ZP8uQfdc9VhoflNH3znyQAE5clEpy01VTZy4jueh7BRNHObRj8VBToVquga5+ggYOfEQPG5B5Ifp1E4CJ5Tl50bnZg2SJaUBo7esjIypb9kMtzPsnNfaSco1ws+jGT8247TCMLVF4yBHRlKjFHjjJxN2XDcPlNdHgt2fEP+HqP6XGcVri4yDWRdHY3OK3MODg5aG1z948BBm1mdaN7dVF3NbjisR+ZnfR/KHAnE9NMlerSD+3EeY8W9LB8ymMPDwwGF4UzXbTHCNn1nXa665iwIyoeFUpXWsp65RNEUFkHBcsC+PD7IuVIX+ALu437zbMaOeSm+Q1dMMXpe7F7HpVhxiAJ68G3EpOMMkCdeEILLeLrufGm1DRYnAE/ml9fOZue7aHlxAdEdDsvo2xSEnQCvayICHx4eJllGVA+kBwxKhQyA/UicWs5ms7ZggzbRJxCOS6qcYnkhC04O2SAPFMe1sV3XtaoKyyrJ4NlJ2vmgKNf10mYMDYPC4ZmSceq5ubnZ2s64IIO+P5+MA7k5K2EVGj+PPfZY1tfXBxOk7Azo4Atfz3fz+Xyw2nNnZ6c5LFNj5mqpRiJwHR0dDRYBOctw9ri1tdWcznx+vrDk+Pi4OVb0kb7Sb/QfjpVx4v5nZ+crUW/fvt1k6CoNUxFHR0ct3XcgNJ+LAzYd48xn1QZbZD/eZ4fdFSslgj04EO7s7DT9omaca81t8yx0rlaEOZBCkXjyELnZDm1nOGf6M58vK6GwX6N9QAX9xb95nssTr/c6Ls3eHR/4wAcGaUoyjMBGmihynSkFITrFN+dUeUGjhvF4WaLmgTbKsmN2yoSxcQ+u5d5OLx05Kw9Jn/ncSsK9PKmGQnGdA4bvjYOuyD9Jc8jmsJ0loHj1WgcFPqc9ZDM4BO7jPnC9USPpI9eBqI1oUXxnW7WvpjGcCcxms1y/fr1VT9BGDvO89X8QZbKskqj0FBNwBHHz5OgBwMP0gXXcaXMFLzhrZyToJn21gzSI4Fk8G9TNs0wBGYSgb6YvOJz9EiRpj2kZo13TJRxGl9zfFB26YiRv2rKWJvpeAAbuayqCezC22CHPox11XseZGTLguR5r5II8vdiFtqA7H//4x3P79u3LvXeHkZ9RBgZK1EbhOFAy86yVh3Ua5whodIsi2shJ/42U7jWZ55lpozJPCjBgdbEIigE6Qh6OxnZi9AfFhcPEuXrW2ak4jg9Ekiy3VLQyoWBVwRkjR387XFAX6H9nZ+cuysFBiXaZiyZr4nlGPIyxS8nsTJjExKkxrq6gAE07yKMvBFr4f57rihSjOu8/zZggS090cb/d3d2m25SzWXYuDax1vugg42R7MEJEbw4PDxsSJruxXD0mHgcAC7aFc2KMDDqQM/e3o3d1iSkNZ18EMSNXdO3s7Kzx8zwXIGH7pZrJ9Kd10PujoK924t7/xgEE/0MfuS/Pp1/2HX4hwHi8nNg3XYtP8bwZ+nOv41LsJ01qS8MdYYyak+U2pkaSOC9TEwjSFAg/yXCHKp6XLDfPT+5GVn7uYrGsbMC5ra2ttZSx8ovJ3QsFHL05UBJ/bo4OZaTtyAMumXa4TA9Kw1QO9wdV0VecHIHEiIw+EdgwOsvGSsc1yXDnMk/sMYYEvLqa0UrPOF+7dm1ATXEPHKx5TfP9HlPax/XIlw2uPE6Mb5IBGLCzI1B6jAkeHOaXbbyMu/WMyVrkbf7SmYIzG8+3mNYyx266Dt2sHC3t9PMqWKjo1ZOSNTuiff7Ov2kTtIrBj5Evumxb8Dm2N49dzTgNdpj084IswIavs7OmvWSNPJ+sifHBlziro581a7yfk75USNq0BKkCaS2IyOk3zhult6KRziQZKBADuL+/P6gpZsA8e2ue2ZNZdkRG9iA8lHt/f7/xmzgALz0GbaAk8JimXNwvc47JcntOnKFRE/22wYHI5vN5W2GYLPdBMNdnBEOfMWhXj8ARg0Z5tlfQIWO+pxyMVWKU5yXLvT84Bx1gNd90Os3e3t5db7ChH1ReMJ5+aS/BAIfnYIm8fA5ydx/RD9f7TiaTAd/uzIX+Hx8ftw2MkiVn6iXUzmSQt9NoPsM5Untteoh+bG5uNh607k1NO3EaW1tbjVuuwRX9YgzJHtBx2oZM62rGvu+zubk5yBrQwel02qop7KxNF/jNPn3fD+Y+kLtthTmAs7OzZnsug8QWDXw8HzKZTFr9vYEKcwSepLZD9pj2/XIVsB20y/UAd4y5abd6XAoknSxXgzFBiAHVyEtn4I+TZYVEMlwF56iFI+JcgoE5P0c+87C0z0ZEGkqKDHoxxeAJC9+LNhkBYGgMnoMPf3uDfXPqyXIrVZTLgYkJKBbrEHCcouMYmBiyURgdkrYhYxZh+F5cZwSKEYBYav0vMlssFoNABdfrDIIxmM3O9z1GXxgj9oW2QdJv0y3I4ejoqKXHDnJ8j6PHeZMm07caUO1UDCqcTlO65eDnxUw8Cz31HhjoHs/CTjxWRoDWafpBuy23Ov/iWmi/tNf2ZqQKNeTsqjok1/Ojr56MM2VC36znUAhQg86EaLOpI5CyM0eoDGTpcbR+MGGPbbpkkWsJyoyfAw36hhxd9YJPcp/udVwKJM0gmxpgkMwxOY3zYNeJFYwZTtvcWHKeluC07WSpxjCqAdUZKWLwUAV2yslw/18rG+9hs9NwPSz9womjnKBLjLI+Cxm4wsUc82g0arPpp6enzVkjZ6M2IxorqpHxaDTKY489lu3t7WaEpmD6frmTGUp5eHiYg4ODQcqMk4L7NdWEc8A4oGCcVfnt7jiuikxOTk4av4zxmEKAq2V/EFAe9zNNYz4T2Vs3jVRxfqBYHDXXIgeXcNVM0Xpmh2WHw7jfK0twRYUDvFG8gzLjUukUZ5CMM46XVYvQjQRiz/mgZw5YnmgEKNAm2mC0asonGb6L0FTXqppm959AkAyzbL5DdoAw6yzt9eH/zTWztwljgF5VCtB+b9VxKZx0suSKVu2F4HQ+Gb6hw7ylUcwq/s9LzFE6KwgGx0AR2W3Yq7gw2uIXfiZLHo1+mM/lOpyZlcxIzg7ZKN7Bgf7i0JIld5os+Uqebd7fxug0n/55Zz2nyvTTCuc+o6xuA47IXLDnFEgHa5DDqYzH56+vslxw0g4Qr7/++oCicNBxpsP5/Dait9OycYNYkzTnVAOnx8pOxe3E+M3B+nl1stpZnukRxsKcq/tk+qX2xf02wDECdtrPPZwV0n4yINphJF+Bl2kEBy/6ZluvNm/U7b7wGdfY9mpgtR3YFuschR0nuusx4CBTsA/Bl3Ff+m3fYWr20jtpBh5nhfK5GoEVUERgZkhNaXCNZ8a3t7cHhlTTwTpBRvTGSRtBbWxsDFJoDBrOOklLsbpu+SYTzgf5MOHIYFUUhOKab8aheVKDe5sLc4CwQtc9SGg//a7Ow+gaLhgn2vd93njjjdy5c2fguF3WtL6+3t50Y7RuJMN2k+4vjtBtJcOBE6Um1lU+GA6ByhNxOA87HRtdNdCaeoIQ4Tjpz/HxcQ4ODgaAwSk98js6OhrUd6NTtAvkSNvhrnE2BBaPkekhU0A8sy6iQEZ2qr6nJ15xGKY4jNaxQ8+TOAB6syfP0TAu3uvcWSqZZKUfvaUAOuFab9u0qz1ME5IR0x7XT9tm5vP54A1BtdQzGWYz9IE+GSCiZ6bLkLWDy/0cdHKJOOlkOXOaLKsD6mCiWEaXOD6ciLlmBOXZbqNzBpvqCIyX+9gAccA4perwjdpGo9Hg7So4FSOiJHf9xnlVpeTgeTZQp4MEPBTQjsPPp651Op0OSp1orxdgYJzIfz6f5/r16zk7O2s71HEYcVGhkKS91OHOnTvtOTgaT8jA+9mRVJ1gTM1b8xvnNx6Pc+3atdy+fXswCYhDpJ3m9ivdgnHzPcEfRGTqgGvomyerXJEEL+/+ID/rBfMTpiSM8lehySQDJEswIIjb+XmsXEJHv9xfAxj0zZQFMrJdTibLd2UyqWoqg3vSVmSJ/KqN4lhpKzaNXkKxmKb0dzhtUzXWAWRqW7NNIjvG07Zi2tTPMUdtasxBlWBcgYGPS+GkaWBdFuw0F4VJlsuDKbvDCdaaR+5p1OW01QOWLB1gkgFtUCO80xbuY/RA24zCrcRra2utkgPHRJWDFcAO0ApGu7zRuSkhtwWnR7+4B3tb2xGCLkCH6+vrTfmrErGxPkaHQUIBJMuX3fb9ctMaHJ/LkOifnZyRBuNGnTP3YULLKT5tJ7CTCXAPdMs64uDGD2jUumHHyKpV9MFZCzoHL0tgs0M9ODgY1PCa2uF8goa5SyN9HLn7U9Gw+11pHztFdMEOCz1Ohq8X88uHkb0XyNSJwxpIjB75jAyCv51BdN35snn27SGw2yFyf2qnmTDkGdZfJmHxLwAzApkrOIx6OY82UXJn2fD9eDxuNoHDps9k5LTXGeGq41LQHUkGA2nuzINsREWahWJ4M3ocnRd+mAtyxHfK6ci6KgVPMjiHw9fWSOy0imeaT3bAoe8oqaMs7bDim1qhjc4UUAoU2dmJHaLbjSzMxds5eALT1/geTjdBlQ4Udo7IDWVGsY1M3OeKpglw9N9I+M6dO3dNarrdRoMeT5eX4byMxP1dHXfPBdBno0+Pi3XH5/g765O5Ze7vbNNZlekl2lcpMfcZ2dHmai/VyRkwoMc1dUdv6ryRv6PdjKURPU7M5xFAPX7+ceZpna3t4v7QavRhFaq2PdkXVH7ciNv34FoHBPS52s6q41IgaRTBb0Vwmobg6t6roDIiGPWYJvddVkTqU1EbdIkVlAkzc6PM0jrFhnv1m7qJohgQbTSaJgOg+gRum0B1enra9nMgzbMB0mfzaigNSAenx3dEbyo9ahBkEtMcZrJ0WovFYvCyVaexDhC8QBZ+D/n2/fmGTARUZMV+Gc6cuN4TkU4hGWPGtO/P63EPDw8HtAQZFgbfdV17cwznY6SMP+g1Wb75ezKZNBR/eHjY2omhecFQRV3cx3tDX7lyZeDA0Qs7seTcEWxubub4+HiwWMIr96w7HIwR+ucqGeRseslZJHrlLM1OBoTvSUn6ytwH+gqyRjddFYVjpr2mHrk/8iQTg4ozAMB2sRtTfcjHOsp51NEfHh4OKD/6jFytr6bj8CHOljz23M/bqKK76DEZsYNzPS6Fk04ySE8q34byco7T22RY61grLExv+DNXdCBglzqBKpwKe2CMMOomQObNQIVQByiuUYbRtNM32uH00UqKgtMnojbGg9PBgFFkl0iZG0TWHMiFYEgb3EbvCUFfCJAoue/HVrDIhtLHOotfJ/+4JskgVaRP3AuHS6ZlRI7Tpy1egm8EbvTOJLV1kj7hIFwvjwPFGZJ+s1McY0wwQA6VzuJ5jJepmurI66pKzuV615l7vHFMtIfgxsRgzTjQA8bbOuHPPf+DHI3Ka/Zkua0630CCuRL0rWYO2Cr3wRaRD4GCe3M/726IzOmb1y84W3TbTLHVrM4cutvMd/9KcNJGtRhY5ZUZUPNwGBwK7eibLDeSsQEyEFZ4HKGXuhLdQCxeAINSm7NLlsgPZaDNLNDhwLGsmviyUVqBaS9O3wiJ9rJxEH2C/zZSM7o3f4lSITtPiJ2cnLT37oFKQexO/zhQVs8lIGveK7jK8GgzBmu+rip9koEceK4zFgzAfOzJyUlD96Y6TInRJ1aN+SW36KDRuidxQXzoogMgbSKg1ElSxgjel0BOsDX1Rnt4FvdCPp5EZywrR2/gwPyOZQcIODo6alv5IneDHztr2s54epwAWoy7nR8yqjQN42QaDn02f4wNUOeOLP0OTmSDfVrfaKft0Vy3gQcBHv2qPL/bzlghAy+QMe1xv+NScNLmbfjfKQCDZH7RM6k4m8rnOfp5EsEcpFMgT9rh9M3zGS2Px+NBaY0RNkqMklppVnFzdeLAyohycC6Dvop3c0aBw+GcOilCu0H+nEeA9GKYJAPngSEnGSA7p6c1I6mO2QZgZ0W7uLYah+kEZGK6hv4YkXFvG4Ovc5s4KldvXTs9Pc3+/v4ANXGe++FxweE5EDhtro6pouWqG8iTA30zZef+gwjdRiN5y8Hjh9yRn8+vfeX5thmCsHUV+gCbtm16ebb7Qxtom+Xow7qFfGwXyI37eF6hcv7ug3XTaNgI3TZnVsC6wOfYoZ91r+NSIGkPvlMwp98I1FUe5uhQOFAFysD+BYeHhy3aJkPUXgcbodMWlAfkwaCC9jjsVLuuG7zZwuVC8IMMNvXU3mcCDtnpIdcbcaEo5uI86Qjys0GhqLTNG1Ml59QT5YM4BJwSey1UVL+9vZ3pdJq33norSdoqQnhcnsvYMGYYJAbiygGcDUHMcxDQJMly208H+1XBj2zEmYUXOIEy+d6ozwjLiN3OBEdo1IaO+HlGmeh43/f5mq/5mrzyyiuNejA1gWOhX2RdnAOdggyqnDnXiJvnI3M7aOYInO5jO/v7+4O1CAQhZGl6hANdcoWGbQZ5uKLGQd99cJbiOanDw8OW9Wxvbze7N9DhLU7oQ0XythHa1XXdoGKJa7FHrjV/PRqNWvbBM2izS0jrFhGrjkvhpO3cGIg6Qccgu1jdUSoZrsiDDzVaqGmTU2GEacX3JA0K4cjK/eyscJikQo7gldYwwjOSqrSDnQNGbQ4R1ITiVCQKL+nKDJcgcW4yTGVRQH4z4ej3SBKkvNqs7/tcu3YtXde1xT+03zQTn3mSyU7Q2ULl3z25WIMRsqPUyWPhNN2GMRqNcv369bboxLpptIvuACK4v2uvGQfLp07QIguP+61btxq6BJz4XuidkS2HQY3nIIxqAQu1/xVFmyrq+75N+jpoVHtjTOzkLEP+9zJv9NbB2LQOjt4ZiYOmszkHe2x1FTL2/humYSzHqlPONJydeFLblKrtkICCTEy9oL/W9VXHpXDSjlhWQARWJ/SS4TvHnJJiFCAYDzrndF3XInbdvMcTmHaKfd8P9q8wYuN53vDbtIx5ZdrMTl0eQE82Wh7JcLYeVGVnmQy34fQucfTb96LSwGmkjYxrnZmQomLwlhUKCaJ68803W7+s9IyFU1krNdkEbaG6BnlaNow3Bsnzq04YtdRqIa5JzmusudaTS7THE4I4Ojtp7x88Gi3fAM7bWLiPx8TzHH5JKrpgygwjp0TTjsPZgPeqRo9NqZg2cs1/dSaUjwJ2OHdnZ6dxv8jV42s9RTfQM1fFOEtOhpkkNuQ6fdMWyKFmC7yX1HMn6JcDLrqML6l+yHu9mOJwgHGlGHZum6pgpPaB8XqQk74UnHSSgWMzX8mPl0JXbtWCI6qhhHac5qKS4ay4J9mS4RtSfC0DSTtpm5US5SYK14mtJIOI6rTOSsGz7MDdLiN67umMhOd7IhaFpq/I1TWqdqxOByuPbMfFs3BOnpzkMPKiPTgc5GUHC/9refC5sxeW5SNPZ19cW+kPI1FXBtg5I09+GEN+m7KoW8QiZ/TRCA8d4XDQRh4Oms4cLK9VThddcEB2P42waXvlla3LXdc1qmsVYuRv643rmGmDg43bWu9Jn9E7xsAv6SCw22k6KCNfgwHG3MHL/gXf4zG1/Tu7tV3W+9sx0z/blduNjF1UsOp4oJPuuu5vdl33Wtd1v67P/vOu617quu7TFz9/Qt/9J13XPdd13We7rvtjD7o/wtre3h4MHjO1Lmb3QOMciPiewfbbw4nGGAJbWHqgUEzQ8nw+vytN53s7KlDR2dlZq+Douq7V6oI4MVpok/F43DhcBtLonOeClnwP+uPA4XJCeE/Sb85BibquG8gaA6Btph/W1tbaO/v8PBsjGQnXezx4ph0fiIP9N0Cj9JVrT05OBiu26qy8ueWzs7PBPsL0y1tZgvw83kakjCOOEvnRd8sY/tMrC2tqnQz3vkiWCBlHxI/lio5RWYJBJ2lvVvcqUpycuWaCV5KGdJPl+yyT4Z4v1g3kS+A2OrYeMbHvQMj4cB32hi34/Y603cESqhA5rq+vD+iO8XjcthfAL9QKJn9OAEfm6A3jxTPs7G1n6IxpUVaaMu5G5qYzkS+67LppU1/4O+tNPd4O3fG3kvzfk/zt8vlf6/v+v/AHXde9L8kPJ3l/kt+X5Ke7rntP3/fz3OewI/KEGd8ZYZuoRyGcuhlxG+3WlMJOH2EzIBd9GaAoHM36+vpd9bVOpRiAo6OjFvG9oCJZogkjB5SK5yAHc14uKaxowPQQiga6s+JVVGlnZjnYiTtNRC7wh04Lq3N0SRPKaETs+9OPZLiCERkZTSJX6AHvP20awHK2EfC/n2+OkjF15sQ9aZsrJSpNZD018PB9uJZ++n6MIX22IzB1UNNmHJDlaTk4C3CGynfYC/SAS1Q99siIz8x9W258zwRaRf1VZtgzNshB5sc96mIZEKrbah2yTgMI0AfaXJ0m13lOgUBOsAMMocv8ZvzINBlDJh3tB5wl3+t4oJPu+/7jXdc9+6DzLo7vT/Jjfd+fJHm+67rnknxbkn/6gGe0GWbPKtMRzkmGiw0QgN/0gLCPjo5aWmjn63tUJFN5JZ6PAjBZt2pCwkjCb1SGJ7PhVSoDDi1ZIhpvEVrbXvvg+6IYVjg7xmQ5yYdxOLBhQFZ67mmHTDrpigWux7kgQxsAr6bCodI+qkkcIDwxk5zvN8LryewEcDZGpxg88uM3Rg5qY16Cts9ms4aUaiA3mrLD8992Vnw2nU5bfbhlQ7DDsdmBsAim75eLZ0wFWi+5D/3i3p5DmE6XG2nB8ZuPJ/C5fI++eMEHfbP+1J3nKp++t7c3yFqSDJyuK2wcgOx0sUVTC5anKQOqqipFis65eAB/YxDnMae/Bh602VlS1XN/5wzFmaF3Krzf8XvhpP9813W/2p3TIdcvPnsqyQs658WLz+57GOnYuJPlpksYSeVHbRh8ngz3yTW681GjZhUagnZpk5ETSu5oygA6QtJWb/jvLAClsUJ4orA6URuEt2Elta0I1UHFDtLcnhXRTmdra6ulk+bZ+alv17BsLUva50wBJ0zgc+oHaqEds9ks+/v7A+fLgQyQp50ZB8HINAxy4xqCqTeJSpY8MNkDeuEAYicOBYMh1qwQ9EfbawbkgAIFg54ynkaflp151WT4irWa8tNOtjtwAKCtjJVtqWY+Hm+cJrpC2zxPYAfuIOt713OYtEd/6uSjeWzGjD6MRqNWZso9qg7ZZ1g/bXecwz3ul51X0AI44FiVWd3r+N066b+e5F1JvjnJy0n+y9/pDbqu+3DXdZ/suu6TrlJwSlVn2C1cG2UVILPtRHxzobXSw3wg96iokqgMQjY94LIxK0KSgUJOJpM2249x2ZHj8Pjbe1Szx4B52WTJzcOfwc12XTfYExvDccqKc4H75aj9YqtPVjQaLVTlYpySYXB1IOT/JK2/zpwYVyM+O29kw9tU6n4njAN8pq+FprI+ML4Y/Pr6eo6OjvLWW28NHIZTf/7HsZHVcQ9TctAyyM3VMXaoBIhKuyGDZJlKQ++AgpFJTfFxNvSV+/m9gNgKeltlgnMhyz09PW0rNj2+jO18Pm8Tjeih03mDBsCTOXO3ifMZP0/QM/7YsPXB9Ci6TP0yB8HKgdVo1w6f/hOo2e/bwMV8P4Hc8kG+BI/T09P28u0aLOrxu3LSfd+/2vf9vO/7RZL/JueURpK8lOQZnfr0xWer7vGRvu+/te/7b/VSSSPWZDmoRoE4VYyfA6ExAHaAHoxkuLoIhbWj5jscrSdqfK5T9GS4So5+8KquiiYrl4uxgEAwVBTGaMftw2CRH84dp1J5eSuFqwQcELmmLqowH++AgYxqJuT+VXrJ/aLdlifjZ0d9dnaWvb29AdfHczyOlpPTWeuVeUQHMBsV1+AcvPAHqqTysb7O4+yMg7bhUCpFQpvQl5pJedKtAofabuuK/wYI8FKHmgn5et/bWayzXM6x/LFrPkevjfbpi20PeVVQkmSQ0fjtJxzYv/tie7cDr9di5/Y1qw6uAyDRX88BWd7YaOXbASSWfT1+V06667on9e8PJKHy46NJfrjruvWu674uybuT/PLbuN/gbcuU21SDNq+LUHAiREEM3Jwe53lmnedakRCu0XUdQKd1VsRkiZzskP0cBxpPpHCgoAw+yg/nVlNPZxOgXb+FArmaU8eokmF9aLKkJDY3Nwc10KzsQy4ODMkS4YE2uA6u2agRuRKIaiaDzMgSViFxJlX39vYGRupAMh6P8973vncw2WgqiDbzfQ2A3lXOuuFMYDwe58aNGw1p0e7FYlkRgXwwUAfonZ2dwaQe3L8/4387c5w0VIp5ZNsPgMW8N/c0X88ktzlssjdkZ1S8u7s7sA9+nEXQPmgKjyt94BpTR+ipSwf9m3PJHDkfmfhlC4yZA5zrkp3RMqauBjFIYFz9hqPadts0c2W+1m8+t295EN3xwInDruv+hyTfneRG13UvJvnPknx313XfnKRP8qUk/8HFwz7Tdd2PJ/mNJLMkf65/QGUHjTQSQXgVjXiiA2dgxwYHaA7XExSgB3PKdQKA74zsjL5pH5UW5pxMLRiFsFz1Qp6tasN9pw88kzSX9N2cG9UiyXLhASiTZxCkMEQ+x2FbgU1xOCB49hmDhfKwTEzhIC/6ZUeI0jPRS18d+GinFb0aFe027eUSp/n8/MW3n/rUp5rjcLBDT7wi1VSSl5jj1OzwQJ7Hx8e5efNmQ3Re1JFkkJ7TL/RqNpu1F/OizzgGl6ERLNEvUwU+nNq7BK9mT9iA7wcdgwMzGOr7vr2yzE6Le3siztmVgxLtYUyNnBlrBybPlbgf7ic2Yl3g4Dp+OxOh37WapqLemoV60o/7YIvOFHDKGxsbA8qR9lruBFjG9F5H9yAv/i/juHbtWv/BD35wkJYz8MmQl2PwQUZO8zyBcnh42BZVeEBRRK43PVEpFJ6LYmFIHjwPohU7Wa6KqnQDM/EYNt/j8LwHQbI6HaddpjzMbxnhGDX5evrnJeM4NK6lX0bvtBeFtlOh/zgfnuOVeThC2swqMcuPPtmpoeCVgjGl4EBKf2mLd+3b3t5u8vXqNF/jxS8eJwy2puZ8zjigXwYc6Cr7PLjPtdbZpaiVesNBmlqw/tIexoZ7U3fs4A2C946FNYtxEOd8ZIBN4IzJ5pz1mgqyzKh8QeZ2sB4Do3YHP2eoHLS7Zo4AJAcpgi59Z/xdF0+fDBIYG55rKqMGU/wPYIJr3O6f+Zmfya1bt1ZyHpdixSERBSLdg4RBY8RUE3hiDQW04pgGOTs7a2iBVNDlZzW9cUqJ84ZWYAICJ2NkUJWC1yNVjtkOpToS9wdU4eXoTrtns9ldW38awVvpLZvpdNr24UA+ju52WMnydWW014bqvi8Wi0EpnTd9AlUcHBzk1q1bOT09benf1atXB8bw/ve/P4899lh7zvr6eq5evZr19fVWBmZHaBTPxA4VGmQafd9nd3e3Gf7e3t6gHND8OPQAbf6ar/mathcJMkCeDmYYIUibkk2jJ08ckTpzrh0aY46MGXdswxvJ89uVIF44xXO84CoZbhVgcIIemKd2gDfCXywWjS7BZrkf7UeW1jVsyesHaAP2yfNApfQnWZbt1oBMW43WXf5HeR7jtbOz0/SJstdkue2E7ZHAiT/iZRDOFA0WnRmbzgEooEME0nsdl2LvDpQFo7bAOUDSdQIAgfB2BkdtUNz29nZTXqMQlyJZcZO065Pla7jszElXTa0YFdXobopgVf2m06uaymM0LiM0j4Yh8xxzfhwgHQzeK6acqXA9ikNfTZkkaW+N4c0mrnQw6nYqSdAynYCcoRS6rsvrr7+eW7duNVns7+9nc3PzrjJKTyDZYaMjDmDIizZwPQ6Svtmo+OyVV14ZoG5kYEQ6m83a6kzrGI7E6MoUAHW6pjuQDzLd3NxsTprFVLQZmXtlnh0xY+9zmbuxjZgDpj1eCep5AzIA9IwNmPjxPNLm5uZd42Q52BHyHDtb9B7doK3IkGuxUWe3RtO2T55tO3IpqTNSByfGhbF0sAZgYC/Ook2h2p/Yx9zvuBRIGifFYJiDNPfsiQLzgMmSe0MBvBgE5TcPjUIxgKCQSn1wMBAus7FDtQJ4STmKZjQMJ+tqDvrldIhBR1FwBp6kQMG8IICAggGhuLUECdTidJzraiqN7Hj2/v5+QxSmBbiHUcXu7m4Wi0X29vYavZIMAy79Ojk5ycHBwYDewCmZx3O6z/hhaMjby9tp/yOPPJJHrl7N032fJyaTu/TCGRxZEE4NfSQ9drbVdV2uX79+l5OgPS4XxQl6XOfzeXu5Asv2yfys/1767p9VlEp1nDwfXUT2rhkmyBBMkb1RMpkC+mYdQT/QCWcmtMso2T/Wcb99xwiUNvNcZOfqJmeqHgN0yc7cDtn6az22/jujtK2i6w4IHJ4HcjEDvuRBx6XipImQDBZRzZyqEaIRDde58D8ZvomhRlrfB6dL7aVreDEyBph2bG1tDRAkKMi8OWkNCA40wT3oH2kySmenbx6c5xhJ8duc5mw2aw7ak28oLnKjn74WGRt58wwch18RRvuZYMQYUG4cATJ2eli5TZ6HsuOkrl+/nldffbXtve19MegPaNYVH13XtZS267q8azrNH3/99XQXz37l9DT/40WFxp07dxqfatRp+gdk6GcyJkbMFc0hW3Ovk8mkgQnkgyPc3t7O/v7+QAc5TJGNx+O2upb7rzrQLWeNyH0VojO37OwnGa78pH8ETM+74Ljq4i7Pjzhg4WyRqUED+kU7AHRcjz5VIJIs55b6vm+UKjKAdrKMLWva7rfY0AePsUGZMwHXoJvXN0UzGo3y8z//87l58+bl5aThlyZCNggBR1g3m8Epe5UgwnVqiNP1RAyD6cjrdvAsKhq8Iq7vz1fh9X3f1uJ78ozoyzVGpaAM/3jSxdGe7019gLYth0qJOGony0Ul9JVCfJ5NtQv953/TFny3akm8OToqHggYVb7myOkn75ZbLBbtJQ78XLt2LePxOFevXs3t27eTLGkb6BbazGIj5jYI7LSp67rs7u7mW09O8p4/82fylR/5kXzyQx/KznyeJw8Pc3R0lO3t7YaukDdpNRQRumGkyG+cB/rLxvOmqMgirly5Mkh7oVHMSaMbpliSDJaJMxFWJ9A9UT6fz+/asAldctaBEzcy5YDXHY1Gbc9t9Aw6xsjUOogNmDJzBmCZ4XzRATtzxp7vsTNky/NNS1Zb2dvba3qZnAdD5GVwhS2TMXl9QLKkX8l+6ZvnKeyUyWAYS3R3MlkucrvXcSk46WS52giEmQxfLUXHmZlFoXGYNgQPCrWk3vwdBfMAOp2q6Y+df5IBWuYwinclA1kBRuw0mGfT552dnba/guVQOcDadjtzO0j+ZpLQb0S2zExPODg49TdHbhSDrBwwzfOjjE4DUV4HXI6rV6/m2WefzUsvvZTFYpF3vetd+dznPjdAmdUYrRtHR0ctUJg2gtN+56uv5qen05wdHeW1vb1M3vOefPOv/mpeefbZQQZhXt2VL9A1TEoiByakHnnkkTbWvIUEGocMJElbtYcumnJA/s4s+dw2wYFsGVPriZfCO7sDVUJ9VL2yDnBfsj7k4Sqg6mQq/2snxr0dELgP3zlrtW7i/La2tto9jZj5n3vaXxBo0VHru8fY9skkpinK2i8XGDhjsEM3zYWDB1S4imfVcSmQdJKBsBgwnGsVAKgLodpBouygi+l02gRLRYhTFgyyOuxkWMqT3D0Dzu96HzsOc3X+DmR/eHjY+swsORMxGKMXhIDaCThciwKZ2zNipQ+kXxiYOUMHE+Rq6gEnZoQFqjTXxvMZDyM671gHihuNRrlx40aefvrpPPvss/mBH/iBfNM3fVPW1tbyla98pY096fdjjz3WxhcHga6gS7Qded+6dSt93+fTk0mm//Sf5onHH883v//9efeLL+bVb/iG3Lhxo3HhGxsbA9qEPtnZOXifnZ3l4OAgfd/nqaeeytbWVr72a7+2TWZ3XXfXhkK8zg19NGftZ3E9n7mixtQfPLkdkR0Fz6XdXtiDM6u67zEDMeKo0XvrubljkGmdlEyWy6YNtuxonX1Z1jUrQX/sK+bzeba2tpoMAGkGYP45PDxs1zmTIUDQVnSW9nAgB5w5cwbYBnrL/wZvNfO/13FpkHQtVbLQ7FQODg6SLAfJqYYNygsLPKFk5WWyigEzcnGg8ADTNoTvqOwfFI8B9AyvA45nmakWOTg4GKSPXplGe/nfBowxmKowAgWFOSjNZrO2C59Xqfm+UCAup7LsPXmbLDMYZGU6hbc3Jxk8azqdZnd3N+vr6/nZn/3ZrK+v5+u//utzenqaW7du5fnnn29tfOONNxodQB+T82C2vb2dvb29AepmPPf39/OZ69fzJz75yTx6eprxl76U05OTvPWOdyQHB3nkkUdycHAw2FXRBokzIzChl/xAsd24cSOnp6e5evVqXn311WboRmeMhQMgznd7e7tVprDoBkoJg0c3HTgYMwdao1OPAwgOW6E/fE9a7iDrCio72YpknWlaxwEiABpszWDAWdZisdxSAd/g7CYZVoUk5/TFwcFBc3roKTbn+RnoNp5pxO1MNhlun2v6kaDhOSxz/2RUzgRMv/L5/Y5L46RRFq9u2tjYaBNEyRLJ4ii8BBSnxwDDFxP5jSiMOjGg6XTa3omHY/XEAH97ZZsd0WQyyf7+fouodiAoOxMwKBSVEbSjRlTaZeNhAghlqvLjmRgwZWDQQjhkowauxblzLW0lmBm94ZgoMaMt5uGcpuJc2Pjd96BS5PDwMCcnJ/mBH/iB/Mqv/Eq+7uu+Ll/+8pfz4osvtomj9fX1turRlTY8ez6f58qVKwPnjPGPx+M8n+T/9dRTeforX8ns6tW8ubGRwy99qZ1D7TTcNgiS/vFM69Pa2lquXr2aJ598Mj/4gz+Yj33sY3nnO9+ZX/iFX8j+/n7W19dz8+bNJEukaD4auXC/2WyWq1evtkVNUAxXrlxp94FuIGijO9y7Vj3xbGdjOEv+d9UFjsW0lHlU19YTDLieIOxsk8DBPA/jw+fOJAx2CMaACdCtFwoZtNhWqkzsVBlvAzCCsKtfqC03gsZR27GzVBw6jPUUFAxwLdf5qPx/PS6Nk4bLxRGSpliYjtgoRS3n8eSCOT+cLBEcwzNvivBNURhlk0oSCT0JAE/mSE87cHIou6MyQSMZbgbuVNCZgPnSZJkOu4a4psIunbp69WpeeOGFQZpm9IAzJgCioLQNI6/ZC+dUw7U8kS8UFI5pe3s7a2truX79eu7cuZOPf/zjmU6nefPNN3Pnzp32OTK1XthwaA8/jDPXMS6n83mem0wyTbIh+UChoUvmjbmfDdbO7+joKPv7+3nttdfyjne8I6+//nrG4/M3iTBZlQxrs5mo9JglaY4pWVb2EMxwPrYHOx/rOXqBTnn8DDzQc9uK0S+66UlIsgbbrye1odqwt3qe2+IFLugI9mfq0NcRCNAvZ6qeq0GGBhFcg067asOFCHXSFrt3xm+K1HXU9lkAFAO/SqHej+64FJy0udokjVdCeAy4ORwmbvw9341GoxbBEAI8L0Iy0nOkS4bvKvPAe2BIvdfX19siBu6Jk02W2xxWfhPDc/WJa2e5l3coM4/s9C8Zvo0c1M51bDN669atfPnLX24ZCugEdGT5mcN2cEA+GBZtspy9T0mSgWLb2W1ubmZzczNPPfVUZrNZXnjhhezs7OTVV1/NjRs38p73vCePP/54Pve5zyU5R5u3b99uGczm5mabxGNTqGS57SeoGK7dGcFsNsutW7dy+/btdk/k8Oijj2Z3d3cwUQXC5bVZyRLN3rlzp/HZr776ak5OTvKhD30os9ks73vf+/L4449nfX09Ozs7LQsEFfLjFXVra2s5ODhovDU6xeQj2ZU5YOYanI5zPzhaeGvTTYvFomVD1lEcjQM4QbxuA4AskFWlKHjWbDYbTFTaBl3W6EBrEIHtuKKjggXmWBhr7MdUHmNd0TG+B3unMsjzZPSl9gEb4PnIYRWPbb9kuu6e/vF+MPtf1nH16tX+j/yRPzJALZUyQBAoM6kQqRLXUveIUyO1rmm4eWc7e5ScFMsTJFxjWiW5e0Pw2g+utcODNnEg8FjgAOifAxFoDEP0IgwUwJlJskQVpITICeWBB0WGOA6cOOMwn8/bhk92uBh8DWhkOgQj3siNkto54Whv3LjR0Np0Os0LL7wwGF/vP05AYMMpxtfIjsnK3d3d7O/vN4fm2l+X1/Ed6a8RK/13eo1efuM3fmO2t7dz7dq1FiQ///nP58UXX8zt27cHXDZtPzw8HFBXyIp+JkunAB1IP81Jo8N8byeNvrmCijYTwCaTSaNXPD9kJ+MVdJ7jcbtx5O6P7cv2YqdsCmEVpQbtYCBXuWnLijGHz3dhge0HGzH6xpYq8Ks26uvNU3t8TKkQ+NBtvlssFvn5n//5e+7dcSnoDtCeS9eSDHgzoqY3yUmS/f39XLlypaFC0x9QJgjX/FWyTHNQCu6R5C6O+Pj4+K5JI5TbXJ9LefjcZVSkdzyT+6GMpMLj8bgNpo0B52j+jjIwFOPk5KTV6NYFLlxD+Q9pK+jCr/7yNTgSl/clGTjxypHTZvrglWrc004dA//CF74wSFGPj4+ztbXV7suCkiStvt4BzQ4G3VosFnnzzTebMaNrXozkg/FzgGL84alpB4Hi85//fJ588sk8/fTT+fSnP513vetdbQwPDw+zubk5QFEscoK+Qa/84lKn56axnNU45aft1jPTd8gDhwftx5wMfUYvKeFErxhT5m+SpWO0nUG/kS2iw+Px8LVR6C7tJIPmMNXXdV3LAnGKu7u7bTLSdEkNJK6BplzSIAN50h7+dsbi/tVJUcaC+6FffO5gZ+BnWvJex6Vx0nSI4nynMUQ1p3OuNTRPykDVsh/P1nNP13zaqdrAzRd7dRxtMj1QUQ2TdAws7XEVCX+jWOZtnXohp2T4ijFzeI78XhbvVNTK4TQeA4bCqJlCTVuRj/uXnCNyI4XKv6OQRqGmceib+eb5fLic19d3XdecJRSO5WY5ueyMcXA7HDh4rhGp6Q/0B3nTv4ODg/zar/1aFotFXnjhhbzxxhsDXtOTnB4bkCptxenYsLEHfps6c0B0+m2bwXFVpOq5BO7r1bQ4e9pgTp62uYzN9KFphUqjuKyUvlSu2SV88/l8UGFCe5GV24TzrFw3WaSpOORmmVr3ABh1rsC/fS06XB0wfXemQh/vd1wKTtooAQTgelommkB9pg/YQc0pbDKc4AI1uCoCZDGZTJrQ7IxMq4DuQRUsDkHBjYCS5ODgIIvFopUCeaKNqO1A4mg9mUyyu7s72MWPPmBU7hcpu7nWZLlsGuNBXjgq2grvhmxOT0+zvb092NSH53oLSpTNFMdoNMqdO3cGKyY51wEIeZqKgjdEZqSoTl+RAffGaA4PDzOfz/Pkk08OHG01AIKRq4Lga3lGsty4yU6Ie25vbzd+k6XRfjXTYrHIyy+/nMPDw/zWb/1WywCgQDioUIEH5p7JsDZ4NpsN1gTUAGbemDI99MGo3/SOK0twwugL2SeyZcyNNlk0xHwA2Qy27AwTmRj9o6sOoDg0VuWhQyBxrrlz584g8FCqiNN1wEGW1mFTl86kGGvzx+bg+cxrAjxnlixROJmqGQDaayCIDB6EpC8NJ/2BD3wgyXLPiWQ5E2zDNPdj9GGe2GmJlc27esFBcj9KkHCYOCBPkphns7MEARrxYIBkBU4/7bBwKtApSZoTrcjHSMRUjHlFIwlXp9ioMf6tra2m8C6FciZh1OHa1/pcTw5OJpNWubC/v5/5fN7+N5/MmFIjTZrPuBul1AyALMVj7+04eZbRKuPlMUrS+mBqC7kxN+JAycFE3ubmZuOWnZ0xblAw1j8jXx9Gjcgb47Yu4Jw2NzfbOABi4JeRmRe3cFTQwlijN67HdoBwVkhm6szF1BxydubIc5I0R+ZsiwANZeNMEz0lcCA7y3IVIvZEticoTWHwDH8HxYUTdsZC5u1JxcpN24H7M6/h4Fn346QvBZJOlgMEX+RoS7RPlo6BgXS0wxE6xfHkY7JMF5kkYZBQShCjI7A3XUqW1IdrRekDyIcl2Dzv6OhosMSUCOv63yQDh4ixOm23vCwjT546nWUhiqM4honcMEojLxADDhE5ci3Iz3wuSjoej1s9dM0+UM6NjY22R/Tjjz8+SKtN4dA/o0ujaA4Q9dHRUXv29vZ2ZrPzmloWBFVukTG2E97Y2GiLHIzoPCameJgUPD4+bg7+sccea4iLexj1EtTRaeSOUW9tbQ2cLvQV43LlypWmv4w944fuIUuuOTo6Guyi5wMdc0DAZlwrbGDAvQhkvo/1kyoH5M5z0D8+S4ZzQWTInrhlUrUCnUql0Y76RhlTkjzTzhnHylgwnoyZ5QPY4XvbdLVdo3gyk7ony72OS8FJJ8saYSuvU2kEba42GUYop9fmhxAYz7FTToY1tqZLzK+ZJgG983yjZDssO2mUkvYabWE0DCCKaQflZ1WklgxroTFKAp55WFebGGVtb28nySAYVloGWZlG8AQNMoUjtjNz2VfXdS29pt/UANv5k924v+aIx+Nxpknecft2PvSVr2S+WOQr16/nFx59NKfj5SY75g+N2uz86UfTrbOzTE9Psz2d5mw+T0o2R388pk5t/V5Ixg+9oj2mJjhctcO11aGgS+g7QYQDGYOMuZcn5Oxs0C0jd3TftoN8zAe7LbTHoMXOy3buIGB9s06jc6YDeSZ9MfK1w/bknJ23n0GfHXg9MW6KAzl7wtBZhW3MtJX7T9CifTUTuNdxKZw0wrIx0xHvSOfOwKWS+nAgoLqIwS8WJY1xlYWDhFMlOyqn6aAsnkekND1QuXAokvX19bY6kWt4NgpvBLC/vz9AAB54Owfz6Z6cwCDhUEHNGFzXdbl9+3Ymk0keeeSR7O3t5fbt2+1lCatoh7Ozs1y/fr215ejoKKenp9nZ2ckj169nfWMjX/nKV7K+vt5qkaGdNjc389prrzWU/tprrw3G9tq1a22j//X19bz88stN7iDds7OzdKen+eMvvJBMJvm5P/AHzrn8z38+P/jFL+an3vGOvKSZfCpn3Ift7e0WCCaTSW7evJnFYpFHr13Ldz33XB69eTNb29s53NjIz3zDN+Tlflj3S+oNEp9Op22DJ9AemyyZFza3bN4fBMZ5ZF7oxnw+z7Vr19L3ffb29pqd8Gxsx9QdemFUDpLDKbOyknHFkbCJEXaG7Gyv3NsO2vMdSdp2B9BiZDre6xyHR/tAzAQZO2c2IjNitqPFqXvS0ZN59BEAYDoFWZpyM2XmaikHMg77Dc5xoENGfd+3qhkDxlXHpXDSdAxnWxGTlcGo1441Wb6qxyjPPCYKiYOezWZtf2KMyQgVxOfI58jJgGGQRj/cw0ZNHyeTSeMxjWaYcDD/zCBixEkGPJmzDisahsVzQb9MctlIjVzffPPNjEajtkAHOXrik/bi9Pu+z5UrV/Lo3l7+6Kc/navTaUYbG/n59743v3lhjASL+Xyevb29ls4zDpR/zWaz3Lx5c7D6lMAGD8u9/tgXvpAX/9AfypfX17OxsZHDrsur73xnjt7//vypX/zF/Lc7O5n3yx3VMCr049atW80ZELC3J5N87wsv5MV3vSv/ZHMzjz76aG7M5/mOX/7l/NSNGzkVkq1v03YFiikSMiBWH0JDUTNO4EmWk4bJOeWxv78/yKC8enEymQy2GMXh2fGRjjtFJ6ggWyaOPdFnPTanbTrNOlh54ercuM7VN7TPKBrn61dj8Qza521cTavYsZpecV+4xvNJOGZnizwXRwrtYaBHe2g735vWsg+rtstzHlTd8XbeFv5Mkr+d5Imcvx38I33f/1dd1z2S5O8meTbnbwz/wb7vb3bnrfmvkvyJJIdJ/o9933/qAc8YDG6yVFYmRkaj8x2rHHUqTwlS8wQHAwDyTtKcFQNsPs6Rl6BhDhFHyzVeaOKVUDgZoqYVhf/ZjN6LTnwuyu+g0nXne+J6VSEKag6s7oXA9/wNB+6SMGSF4ph3o23ICa4To/r2J5/Mt5+e5v/77d+erRs38i3vf3/+1Cc/mYPXXsvnhCRsnDgPozQCrdNN5MjWmqenp/maxSIbm5t5Pkm3WORbv/Vb8/TTT+ett97KP/pH/yj/7MqVfOitt/Lxd7wj29vb7bnIEQc1m83aOMzn8/w7X/xijr/927Px7LN55JVXcnh4mOfn87z1znfmez/1qfzEN3xDTuWUTcOAPukbgYWAuLe3N6C1TO3R77W1tTzxxBN59dVXB7SCAQyB2DSEJ7LtdAh8XnRh2eJ0nKl60Qt9A8Sgc3bsrljwNYAXTzij3zUzNFCj7aZnOJ8ST/oG/+6+uj3WNyhAO1vmm6ojr1QffcWeTL8YULpiy/7M2ShZHRkPY3Gv4+1MHM6S/Md9378vyb+Z5M91Xfe+JH8xycf6vn93ko9d/J8kfzzJuy9+Ppzkr7+NZ5w3ZjQsyfHEUDKcCSc1dLqIsBAcKMB8sBXUEbdOKuFAkmUw4J5NMLPlRkb+nLYb9dOWVZvqV77RKIUDmdxLTrUNrvQAMdjpeak5iJbn839dPusMws96x+lpvvZTn8o/+Jqvyfr163n66afz1Nd9XW7/0A/lu2ezPHVw0IzDRuyUfzabZX9/v/UNORpJmfffOjnJ2cZGxuvruXLlSnZ2dvLss8+2Co83Hnsszx4eNuPzi3cdzJJzw3/88ccznU7zzNFR3rhxI4vFIl//9V+fq1evZjwe5+DKlVzXIgxkgRNFF9FL01zI0wizcsjo+rTrMu77dFkiRnPEjJ8nzjzpbNrASNh6Uzl+67lRd81e6Te2xHm0kcO6X23LcyjokGkDxsVOHDqC4EpbAUY+p6JSn+fMpvoYUxhus529wZknZhkHZ+3OLgxyTDcy7r9nTrrv+5eTvHzx917Xdb+Z5Kkk35/kuy9O+9EkP5fkL1x8/rf78yf/Ytd117que/LiPvc8EJK5XzbhWVtbG8xuewGLkbf5KBQMZMN9PCOdLFGvOUGEb97K6RADtLGx0TYJ4n7cg2ju9ni/Z4wIR0VUxThM4dBO7gliIL3jOZ5wJB1nwgKDpB0EK/pL8DCKpT1e5Uk7kffW1laeefPN7F25kluHh/ljH/pQ9vb2sre3d37tO96R93zxi/ltIRnL0fv9uv0oO8+jCqW9OfyVV3Lw2mtZLBaNsvj4xz+eJ554Iu9973tztLmZtd/+7Uyn09y+fbtRW6acGHdXhUzG4zz5jnfk8Ows3/d935fPf/7zuXXrVn7qp34q62triRwNFNH29na2t7dz69atQYbAXsej0aj1mzHzm8oXi0VGXZf/zfp63vH883nkhRfymZ2d/PNHHskrWnXqgIC8HCwMWshw0HVTDzg0HBhB3GVoOPK+X06m2cnaeUPzYJcsXweluo7aCL7Sm+g5ffS+6hVEoKO2M3QySdN9AyVPohIUXF0Cr0/26kluV7DQX0+Q4rvILCjJlB8dlBaCzNHv+x2/oxK8ruueTfItSX4pyRNyvK/knA5Jzh34C7rsxYvP7nk4rXCUQ+lQFDs5orc5LVdTuOqA65M0NEvkr5vVW/C+l6Mq17qUiZIaDwJ/G5kkwzdV1CoP39PKVBHMzs5Oa6fRmicrXY6IkuKo6DeKTME+yAQ5W7FMA9mJnp6eZnNjI9evX8+LL76YO3fu5JVXXslnP/vZ7GxvZ2dnZzCxynO8YRBj50UdHi9TCl3X5YX19dw4Ps7aRT9PT0/zzDPPtH0yvvHXfi2f+f2/v90zSdscqe/7QQ31wcFB9vf3M5vN8svvfGfe/elPZ2M8zuc+97nzYJPkD+/v51ceeSS9jHPjos9GnV4whCPd3t4eLNCg/94f+snpNO997rns/bv/bj71Qz+U925t5d8sCJexYjxd6uVFFnxPmzwpiF7hnI1YnV3wfzJEmfzvFL3qL06L9lqH6/UGRLZ7f2ZnzsFzHPgcpIyAcZwOALTV/sFZOTpi6sMZEyjY90Fm9gM4fGfPZDfI37JedbzticOu63aS/E9J/qO+7++UKNF3Xfc7WhXTdd2Hc06HtD0NGAiESboNsnJqgjAxtmSJwilj8+H7gDy8FaX3CUGZuK+5XIyPz1EieO+qJC5jwlDOzs4GdcPmC+fzeatLpY7SyDwZBhb3r1a5cB1KbEQPOnUQBHVzPYHEE1Io+OOPP56jo6O89dZbufXYY5m+8EKOH388L14g1Zdeeind6Wm+/ktfypefeSa7F5/zQgM7HsaOdtImjznjOpvN8tZbb2VtbS2ffeyxvO/LX84X19fzuc99Lr/xG7+R97/nPXn3bJaT09P809dfz/bVq/ecf3BGQgD5le3tbNy6lXf/k3+SL9y5k83NzWz82q/lapJf/sZvzPZF5cLt27dzdnaW3d3d3Lx5s62EM+eMfvCCW1NxTBSyM973PPdcXviTfzI7zz6bF3/rt/Ivvud78q1/5+9k8rVfO0DDTqPNh9rBzefLTaBoi7M3nLbnJfr+/P2XIFDsizE39cgcie3QwdzZkTM2bBCgQNUSNmOOnsDntQUuj8OGXWEDIsbB2jboA2jZWSkgxbZvncNmvAqaTAi/5YoQxoJNzFxLDrD0s0xFrjrelpPuum6acwf93/V9//cuPn4VGqPruieTvHbx+UtJntHlT198Njj6vv9Iko8kyfXr13vTDeZ5zA0xMJXTZMLJaQvG7npKBh5FxlHUyRn1e6D4OI/K1aFofhbG4FIonHudtLGzSoYVFOb6uIbnc5jXNRrifJ9rNMphIwd5wqHSNnPeVrTpdJo31tbyS88+m+/53Ofy0+98Z/b7Pte3tvLB3/iNfPYP/+G8Ppnk+PXX2/g4gPB8o3fazYpNJnzr5M2v3biR3//GG/nOX/7lzB59NBubm7nyW7+Vs77PT/0b/0b6L32pLRm37DAWSh/NEU4mk/zSbJaD27fzHX//72djYyO/ub2dz3/TN+X01VczHi9fX3ZycpJXX311MI6Hh4eDSVtnYOgZzg/efzwe59bTT+cbjo4yv3Ejjz/+eE5/9Vfz23qPIrL2ZDnj7N0MPdlNn13N4QVcq+ZvkmUJnx1f1V+jWPplp4wTso0YbHFfO3+Alctw7QvQX+5XdcnrDXi+wY/13H3xd7Yp+xkHRp5hHnyVPOp8T/UT3KfO8dTj7VR3dEn+RpLf7Pv+r+qrjyb5kSR/+eL3T+jzP9913Y8l+fYkt/sH8NF2mn3fDyo0iJ7j8bit2mOwvfTVfJURh5XLtdHJMvoh6HstIkmWm/xUXsyBoxpA5YQZvI2NjeY8qFoAJSbDjd5Jl+A3jaq5N3sbQAugUN5yFP6cAFKX3vJcKAhQvN8m7mzjtddea+N0eHiYO9ev52efeCLf96lPZWuxyGI6zd978sm89eKL7TkgCyMUOyzXnIKeoHaorSVAjMfnZXn/4pFH8vnr1/P4wUEWBwc52drK6Gu/Noe3bjVeuKaaOEYbEvc8ODjIlStX8vz2dp67caNx4FSVUFkDteFa+2RZsuXJOJddIdvDw8McHx+3+vGf3NnJu/7hP8zo+DgbBwf54Oc/n49+0zdl9+wst2/fzvHxcR5//PG89NJL7b5kBxV9gvQYU/O3yJeAhL3RP65BTgQvskBqwTkvSctm0UfsKVnuzU77yGAXi0VbEUqbDi8meukXcuv7vpWEwgd7cRS65TbX75ARfahUjFfVAhA8MWoANJ/Ps7Oz0xyu58DsuA3w0HUDvbr3zb2Ot4OkP5Dk30vya13Xffris/805875x7uu+7NJfjvJD1589w9yXn73XM5L8P79t/GMQTSvvJqRtPe0QPAIhkFIljyyJzPssJNhVPQMdEWZjv6ehAGxc1SOz4d5J5SDfjiCd103WDyAkhd6aWBs9MFKwXc4fFAFhgwyc5rFczzhYtRutIuDcibz+nSaH/2Gb2jPXCwWmWa4TwT3wjE6ENIHDN3OnAkfxt1OY7K9nS9r5eTx6683SsjOiSDNMmXqri2DxWLR6teRyWg0ak4Mp4suGq0RWFgExPMJUtYlf7azs5Oz+Tx/69u+Le9/6aXsHh3lx7/ru/Lbr7yS8XjcJr/ffPPNwVh4jIw0+75vAMHPNL3DeX3ft9pt89H14FojY1ebICv+57l23NiW9cB8rxGweWs7YWgEAzJPfJoiSzLIsE1Tci/rFfIDCDB3YJtz8MXWahbhfiQZgCdkQaC5n3PmuBQbLF27dq3/ru/6rsbXgt7qhIHTblJOamdxmubAVgmfyQA7bSNjo0pmXxkceCk7cwQPsjPPhDI45XIQ8kQgjgRETfv5TZ9oq40NVGfEgFNK0mbacWxOM62QDmygJe7rvhoZknbSZ1C9OWTSaOYQPAvuNJz/4Ua3t7dbxoEMMWBkiIzH4/GgCohnMq59f77gZn9/v8mnzjWQRSBny8qBz8+nn+aiOfhsY2OjraD0UnfTFV3XtVWm8Kk7OzvtvY8u40L/6aN1BEBCYHQbWHxUQY4nufkfWROUTOV54tHgw0jUGSXfIWc7XKf7DjqeUKMWmuefnp62jAW98zgZsHAN/bZNY9cGN4wFgYC2sWrSVVzJ3VQhzzP3TfBGDpxjwPGP//E//ldjgyUjVRuX+SG/NgslwGklw01+HO3rfsRc52eZNnHUN+eIY8BocZBOJY1ymazw/ayUOEcrljkrlBolsiM2ArRyVqRkJfTEhh0t98Jpr0I9RhI8H5lgVA4SDgYVMfA6KY8Rz7x69WrW1tays7PTxoLxJfjRVpeNYawYk7OwJLl58+agtIxn02dTU6t0jGfW/R6cidFX6+F0Os2VK1cGPDF6zHXHx8c5PDxszoEJUjtVZ3nWS8vP+jAajdoksQGOxxYn6bplgwoO61MNlNzHgMeZYrVxTxT6O+utdc62xL2xQfS+vj7MSNz3q/M5jIOfbxl40tWB2L7E414zEvsWzjGn7/PudVyKZeHJMq2Ef0XBjZ6IYq7ewICoqWTQ6n2TtAkoHLiVrQ4U6Z3RAekJvCLPBrmY6wTZVUrGKT5Ru06U1AU4Vj6eZ8RN5Ce18yw47aVuk8/q4haXCXqijRpRUEalTuAYGS+jJOTIQV82Nzdbm0H37OlxcOtW/q1XX83X37yZ0WiUf7G9nX9840Zmi0Wr/b169Wp71ZdRLqjfsuMVVTgibwnrcWWM+JugYBAwnZ7vd81e21TggDYrWNjc3MydO3faG8PRH2TpZyTLLVMpazSnXvWUsYDn99g6nad9Djj0HTvAIXMe421O2CCiOlhoJxy1bc/jXrNceFrrG6/vcmDc3NwcvI3F2yO4Bhvbd4kt8iIbYeydAdaJcfcRu+bgM8+fcQ9PtJqGYf6H17fxDNv1/Y5L46STZXqYLI3DEZCOWxmMLOpv38t0AopsOqFGckc5FJLBYdMevufgGdzf5YFJmgPBuTgF8sRCvTftr8X/PIdnkqony61OK+px2mlnZl7Ny4I9UevPaIudksfNGQzOj34nQ0QMbbW9vp7vePPNPL+5mX/6h/9wkuTZF1/Mh15/Pb/yrnfl9sVOeV5tmiyRDE7fNIoNxk6M+xAQ6RtcLn2hj0ZC5hVrDS4BCAeKw/O+5NxjY2MjBwcHTS8BKX2/LAlDNypgoU9G0eZQ7fiQsUvPaIszAOuqHbL5XBytUbYBT5WdswU/w5/7eqNO2mteGT13bbKDD/d19kgwsm0jN+YV+DFF6cyTPlWeH9tCT1YhdgK4gzPB0ADtXselcNJOyRF6ndTyFpxQAHYgdNyLJMyb4Uxcz2hEwMAxEN5DYj6fN+PDuG2kLv1hYEB1/O0B9G/a4CzAjsYIhh+qXFAmTxDCpRK9UWAUJUlDrqaFjMSM3nmWHToIAvk7e9jZ2Wn10Mkw8Bq1Iruu69rbUT7w5S/n1WeeyZ1HH83uhVN6bXMz+dzn8geffz4//+STA2TuDMtO2VUt6JQD3O7ubvq+zxtvvNF0je/G43F7RRMIqqa1tRSO8zE6Jg5ZhYiOEcSRhzlwONbbt2+3c60fjB1jSiUETmIymQzeBsL5Hh/vGV4Rue3v6Oio0TR2VPCrXEtbvN7A3LarF0wPoaMOtJYPY8FzDHwqqkcmzFFx1LfFrLI17J0ASD+xV+zQsnFgqNQFQIosBFl4R8RaTfR20PSl4aTNb9opVb4U5wI3aO7QqBEh46g9oNwLJ1U5q4riqwCNAJPlGx+SYW0nA2XEgMGZg3I1A30w8uK+KC4yAXmhPOboKnLxqicbAM+sfVvVH59TX7Jg4zPKop02XsaGAHN8fJydnZ28//Awt9797jz55JN53/vel8ceeyx9kufe8Y687+bNdg8bGuNY00za6GCArly5cqUtJkoyWPLr2nYO7mG5W4cwZl4W8Mwzz7RFKjgjLxIZj8dtF0BzmEa4HN521qVepO2VnnL2SFBEvzw2BDXaU7NU79uC7nG+kSNoF37fjtn64udW/ajUmynC6gC5B/NAlaaotffObhknB7GaZaH7/O+A4j6ZLjGydtZt52t0zuHxuvRI2hEJXterdSpRj1CoAnCqRw1mMty4xpwc96lbjDqt5XocAE4zWRL9DB7GZiqEVYVETUdunIYnQEBkRqumDOw0nKrbmVohqrK6ftR0DW2wQbhG1PyelXk6nWZ/f7+NF/sc80Ptt9NSnGZNyY+Pj3Pr1q2Mui5PP/10HnvssUwmk+zv7+fpp5/OCy+8kNGFjhwcHOSxxx7LfD5vPLuRkg0TWbNxE5zkSy+91AzdRoo+8J5Fp/DoAs6RPcFHo1HbV7vv+3zbt31bXn755YYwx+Nxrl69mtlsdlfQ6PvzihO2LHXQQc7OrLCP6XTaXqzg7I+g65cQAxIYe/rI/ShDJKMwxeWqCaNe0xo4Sa6zs+E8bwBluRohJxnoJPpiBFt3wATZm9tHVmQz7k+StuLVmaMrvSpINOJ1BkLm5MwFXwV4MSgyzUX/PHdw6Z10kgGfatS5qgwqWU4IIGyjHCbtzCX53lYQo0nTHxZmTW2SNAWxYWFonnAwneIFGygTyrMK8WNYrkelrzYIT/jQdhTHaRx9MboyUsJZGUn6cw479K2trZyenjZqgOfQ9t3d3TZha8TD//Sn7/s8f+1a3nt8nPWnnsoXvvCF7O7u5rVXX807X301n71+vcntzp07g/Gjf+bHPVEDap3P59noumxubOToop2Hh4ftLSpuI+3kB6Pj3rxNe3d3Nzdu3Mg3Xr2aJz760bzr4CD/4o038voFmt7a2srx8XGrRcYocUBsZQpAMGJbLJYlfTijSmk5QEFNoBPw5dZv6x/yN91BkEa/7JQcXCuS5HNncOaWrY+Ug5pe4DzLv9oVduDs1NklgAAZeULRSNbOE9mb0vC4m+JwEYEpMAdTU1suWqhZiUGFg+iq41I4aRSDwYPKIPVEoe1szAFy2LGw361XLPraZIkiHS1RXlcymJtzcTuHkb9rnDngXY1AiLwoKyjaMqnVHX4uNcf020GJIMG1XhnHPVA6FAnumZl0Gx6OmNl0B7fxeNxqo63gyIHAVOuH+WEPi7W1tXzqfe/LH/r4x3Pzi19M9wf/YA4ODrL967+ezTfeyC8880y62Wyg7OgG/XLN/GQyaXtm7O7uZm00yne/9VaeeuutbEwm+exkkl988skWsDy5ae7QGQzzDCxsIUNZe+21fPMbb2Trr/yV7O3vZ+2f/JP86S98If+f69ezvrWV119//S7uF8MGtRut48ST5RwKdes7Ozs5PT0dIODRaNRW74HuvRlZcvdWnDhwz71U1IcTQ+fheZ15oYuVmzXy5LncD3tCHpXmQX9MGeBMmXPimQ42RrwGdEbNfE/7XdFTUa3ly7NoH2OG3Zmr5n+Cgc/xHAL9JNje67g0ThoBOhKCNpNl2l5nrR2t2dzd0cnOBCVZxQM5CjqiMhh+MzWCdrpix1M5NUdJHIydAIZJWzmHduBgKzIwv047a/+d7jnl93aLju6UuZEWU3nhyRrQSJLBClBk5wDDd1ZKn8drxHhJ6uvXruX7vvSlfP2v/3r29/by5aeeykeffjoZjbI+Htb5EqhpG7vN4dign/b29vL00VEeefXVfPpP/+k8+o535Bt+4ifyK88/n8WNGwPURYrMZLH1wVkF/d3e3Mwf+fVfz0/+0T+a/+2jj+a5l19O/03flC9/6Uv50PPP5291XXtxhY0fJ+/FP1AVrq5BV2wL0FBGb9iNnQXjCJXm721jnMvYVFqOvnId7bP+0c6KShl77wznsjvvEWPagGfa3g187IT533RFXTfhDBTH2HVd2+e80onWaX8G8DC657kOLAQCy8efOZupcyD1uBQThzZiGu8JKRBf3y8XARjpwnuhtDhsjA9HV1MSpzFUJDBRw7kg3el0+eZiD0aShno82ce+1eyDTFrrFJF7wI06QNV0Llk9YZkskYcpIvowm80a3YD8OA+jtePE8UHnTKfTtk8yb8aZz+ftXX52yIwV+yA4XQUtsGUnz79x48bAob+5t5cf29rKf/3ud+e/fs978gtf+7VZu5jko1202YY6Ho+zt7fXxnI2mzVe8p3vfGe+//btPPcn/2Se+cZvzN7JSX7xQx/Knzo6yuOPP97mMnZ2dlrbydJcggVyopZ3Op3m7PQ03d5ennv99fzkT/5kHn/88bz11lt59P3vz42zs7aVqXUcXeRv9ML7T5BNMtZXrlwZbBxmhz8ej9s2rDhQxhPEjEMxhVZX1THx58VW3mzLi15wUowD9B56zZhbhtQqHxwcNLtwdmlkjt7zN8EYW9ze3m4AwvSF94FGp7gPsuR8dOXs7KzZKzI9Pj4e7J5IP5EFQezo6Kjtw2JE7lW2ZIu2+yRNns5KVh2Xwkkny9faO73v+74JC16L9NlpFE4HB2y+LFly0iDAWiHgVMnCchqFoptbM7Jclc6YK7RxYHxG+E59KgfG/yiaeS7zvyix+T6ji5rOJctqBhsIxlnbR185jIwcUPw7WfKTtMlpqvlNHPrp6WnbqB+j7vs+N2/eHEyUTqfT9m5E5IUckmUN7PXr13P2Ld+S99y8mccfeyynp6d56qWX8vLv+30tEIGa+W0Dp83oKOPUENVikcWFDuzv7+fg4CBvvflmcmGsTPJZFwnMHLWigLGrdIHHwePusaa9yJ574jicSZrXJshyjfXJz2bsV9kK9/f/vq/H2vrjZ/o8Z77OpD1HQvs9iWknv0ouBCJf50CCnbo/VdbWDcvCmanbYxqE8/xzr+NS0B10hqhtxApq5jw7UoQLYk2WAsLhm3pA+NyXNBv0h0CT5So8nuXyI1MatNtcm5XSiupNxP09b41xJQWH99RGgathEUCMeMw3VyeNg/F+GRgkvLORJIpMRUNyXiFSl14zPkyy+aAdPJP+v/XWWxmNRo0LR2FJ0998883GQUINOCg4cHgCte/7tirxK1/5ShbXruV7P/rRPHLtWr4nycanPpUX/sP/MDuf/nRefvnlLBbnNcqbm5uNQwTt15SbsaD2/JeeeCJ/8Ld/O5/d2Tl/0cHJSb7j+efz/37iiezt7Q0cKrJcLJYvPqgZEc/x/hzsu0E/TfmYwgCZWf+RNTw2dJcDo2kq0yWcj47QBtMq3t+Go+/7wS6QpPQGHpUGszPl+aY70RsyOeg5UwgEO5A3tmXb8fk4Yy+2MsJ2ewAGtMV9sD+oE+3UkXMu7aBf1cnX41I4aQ466EUSRo0YBqkHA2aO7/T0NDs7O82Zksp7MUdy9767KKqNBOqAc1m0YAX23xWx024HIdrge+MUvP8AFRMMrCccMUKe4QoY5Eb/k+HudaSkPhe5m/O0khLAeFM1bYT+QNlBlr4PcqkKDTrGKTIZhzHQdhy3aZ/t7e3s7e0N7jmZTAZ7OXNMJpM8//zzeWVzM69853fmh7a28toLL2TvR34kzz7xRHZ2ds6rSF57LfP5vG1/SxvqzLud7Gg0ytWrV/OZvs/i1Vfzv/vpn858scjx5mZ+5j3vyf7aWk4vtky9du1a2+bUTgpdS4aTeyxnRx5wuubbPSdSZc8BGDGF4oUk7ie77VmvoMdog6mQ2gZ0CcBk52OkT1uhAayznkSDKjC1hQ4ArriPbdHIF5smGNQs1NUezm5pkwEADt2O1f+jo57/ckYJeLIdQM9ax+pxKXbBu3r1av+d3/mdTUlxzkxiJcNZaSNoDwYTFCytddmUkUW9hv9dYeJ74yQJCHxmwzEVggN2+ueFN6BelMR1y8lwYyX6jlxMIfh7K4YRP+Pr62wwRmJOu5wBcB3oz+ms9yep6I7PqC7xRIvnBzB4o40rV65kNpvl5sUiFgdwo3uviMT5EeyuXr2a27dvp+/7XLt2LV/3dV+X0WiUL3/5yxmPz0v0XnnllRwdHeX09LSVy+EAquFYTozRk08+ef5m7/k8uZDfeDLJ/AJtAR6c7eA4vEiFunrk4YzQKxy9YtYO3o4eWa5ykNXecSR2ciD8ymPj7NhRz20wIq+TY84okUOl+TgHAGJUWzNno3oCvHevQ0dMFWHTONXaTiNmkLQzE+YLXD5YqSjk4+ojxsOTlhUsrq+v52Mf+1hu3ry50lNfCiTNQCXDt5qgOF7VxGcoL86a8+wk7KBWOejpdNoWv7CCiWe7RCdJGzQUODlHGqABBtrpMYPs9NLnupwNQ2FQUYiu63Lnzp22IKA6fhwc5WhJmuI6yDjbQFEISu5bco5SUE6uI+0ejUZ3vViUsXJWgvwJQM5AvFrRCObg4q3ii8VisAMcfSP4MlGcpLXfyAX0fXZ2lhs3buTOnTvZ29vLZz7zmSajK1eu5Pj4ONvb23njjTfSdV2jR65cudLuk6RNcjF5vLW1lTfeeCNra2t58cUXz+U0HjfHtnahbyyN39jYaPdgrE3dmFqrtJX1An3HmaGXdtrVgTuTw9H4hby2N2g/Z21GgzhQKElTaLZhzkNmtN38MrboShb/9gQxCPT4+DjHx8fZ2tpqaBdbQYcdwC1Hf1ZpycPDw7ZNrP0HNogjrTQN5+JLbG/00Qj74OCg3Y+ggb7f77gUTtrcVLIslud/OyhzOXWyD+XFUWLgKL+dIfdH2HYwKG4yfIkAddBOjxCwJ/zMv+IsbJCecfYzXKLjVNKTHEa89Jtnw2mTQdBvp9bUc6OgyAll41o7X5wEDts0lA3QZU/IGqPw6k7TKyg+MqZfRiN2lk4VjcisQ0aX3A8engoG3vTC+YwtE5fj8XJfZ98TjpM9SqABMFAWzuAccQhuX0XIzoSMwNBPU0BOw61vntA1kqzAoCJBOzXTO+a9accqHWAcjd6p+qFPnmfhXrSfezGG3skQW4GDZu4CvaM9rl5xZmd0z/29AT+BxTSmwRnfO7Mx+MPZGj3XLMZUJWslaJud+f0YjUtR3WEl2draapNSICwvSKkUhKNxMtxQhv9JtTkXx8zklIUEorZCc/B82oZBeiAxAJ7b98vtF7mHkbJrTj3J4o31GUxktMpRmWphxtwTHygTsjDy8L1pK4pGO+gjxrVYLLK1tdUUmftUTt/lXZ504zvLizFBJzxht7m5OdjoHQfMc6GPOB/Dfuutt5r+MN7Xr19vnC+VQ3C26IJ3p8NBY6Ts++yUF2eHk3AVinWDH+SKXDyhmmTgYNF5kLoRGpmk5YnzwkH6njVY2FEkS3CAw8MWLWvuZcdl+0O/vZIQOZp3ryja7eA+IHdPxhGwXCnlpd/0N0mrrLGjdkZtm6kUC2Pg/iNPnklbZ7PZXfSjqT3PGRnEWCb3Oi4Fkk6WCAXlN53h1M0zqcn5WnyE6ZQRY8H4iGIIjZTNr1kyWp3NZgOEZB7J0R8DZJ8OG2JyPoDexxqkQTus+K71tqHRPvPctUoF+gSjw+itnMkSZdVAhsw8EYSzcmrnCRiWOteU0wHOKN5BhXGyvBlnB9r5fJ6rV69msVjk2rVrjZJwJUilnHC03JcJODIINv9nkQkOoPKFOADQ0WIx3F+FLMKI8datW4NqH/TaXGeyXL3HfTifbMqyo61UNNCXqiOWgTlqHAz3dUDisDOHg/U+1egMczF+FhmKyzftvOkntBzXIldnVQ6Kpmc8B+MsjgDPK9FM+yBvL3iyPhIc2TXRGYRtuE7MA14Yc2zT2QW6ZwrJmZvnkGpRQz0uBZJ2ZMRpmhsjLeJ7nLijEefS+VrahKBdRYBQGXSMhHsZaSNgeEnK/kaj5dJmaix5llG6nRQKCTKqC234LsnACa/iCp3aYzBnZ2fNmaGUoIG2CONsuDmPA6KpGdMWtIcAYCMGBYIwkDOLV2y8dqY4OWcydmaz2azVyn/pS19qqMq7IRJUMDbkwdgzL8DnZBj7+/vN4XZd1xazdN35SrTj4+MBBWLkjF56Qy9WCzr19WoyI0Hkjzxc6eOghk4wJug08kFu6Mf6+nqjvbAT00LopmlAv0CZDGSxOK/AYXuFStOYz/ZLFCi7Qy7YB07cuzF67LCbJAOgYXoGJ42OAwbwC14kZSSMvDxXgk2fnp7m4OBg4MSRJ0HJDtWZm5E+geLRRx9tOobMaBs6YL9kSuVex6VB0kQ7Bi4ZvmuNKOYJCEe36hBxnCgDjsJo2RNaRhFOm3BWqybjUAaU23TIYrFozhxlMf/nyQiQtVGpd/yyYRjxmsbAmDFwvuewHFA8T9byHD63E6fdOGjvCGhngdHgkGkfsjQFwLgauTuzgJphgyZnU5xHWygFpC9MzjAOdcLURmQ0ScUC7TW/6T7Qdpe7eaK7Ogifyzlw7TheV3o47XZWg4w9vjZ4Z0bOTBxY7Kx9P2dizpZwKqaC7NCgkZLl/tG2gUqTkAHRThy9A4cnWU11EuSRIXrqIM+bd3Co+BOvgzB6xR5sw4yXJzotK36MjLnXzZs3B/Iwasd/0d8avO91PBBJd133TNd1P9t13W90XfeZruv+Txef/+dd173Udd2nL37+hK75T7que67rus92XffHHvQMDisVQmGiAA4PI2OLUhQDgcA5g8j8LjkUECRZJ+bgJ736i/YQbYmKKIUHHcRgZOcBgO8mwKAE29vbAwVAWRhAz0QzCYd8CCI2ymT1ux6tXEnuamvdSjTJgO9HDkdHR40mYA7BAY37w62busCpYJTIjOuROU7Ak1Tb29tJlqsCuR/jhXHQNozczsYIiDFxsB+PzxeR2InjsAmkAIJaYrW1tdV0j76AxpM04DCbzdrEJe1CDowLThInBdLG8aHnRu1OpWkreoBeI3tTLA7ABGnGw6+zon1kk+gxn5EVbm5uDiqv2B6UIOc5HBwiY24U7MzBY8t52L2zIWdidvLm48neQOCe/0I+yfCNM4yBF7MgLwfB2ex8OwJsYjqdtmoU+kh/HVh/r0h6luQ/7vv+U13X7Sb5513X/dTFd3+t7/v/wid3Xfe+JD+c5P1Jfl+Sn+667j193w93RCmHJ0RwDC7CR0ExCFAle/ZSGsd5labwcl+Uw0tz/Q41R1a3ifQVlIcSsDOaDTg5N0rTLqBT83I8J1lycPTTKNyDiONBOc2lOmpbAQ4PD+/qC87DfeJ70kmv6DJqQcGoKTYCNML0hM8qbtb9JGCChnwfDJOZeNJaglxyvsjFnDuG6qzL9IDfi0nbjNgxXmTB2HF/19WPx+PBXAPO147G1MjGxkajCUajUXsJgbMWUnwCsvvssTZY4Rpni56ARA7YC0gSHSQwGInSbwMD1ghwnaugkDEyZD4I/XFVD/YMiOI5XE/7ydCwBd7U5PUG1ktz9c7MPUmZZPDGJWxvVaVZMnwZrikKAoS/M33l+SrPEzGWpsRWHQ9E0n3fv9z3/acu/t5L8ptJnrrPJd+f5Mf6vj/p+/75JM8l+bb7PcMGgOI69XdkBTE5sjMwfD4aLZfAgmoYQJSYN1UjaCKdV/oxGUHqQ9Q0H1xn/83LwiPynVNdBp+/vVE7DsrlQPTT6DFZ1vDacD2x6QkMPsPxmL9Hec3dJWkID4PBASDrra2tlr4hJ9ppdI4SYlBNAUfLjfSTDIJDnZDxJvDIhTFG8dlNr+/7thINuVy/fn3AZdNHv5zBvKMrZwhqTKiZWqiTj4y7sz10wMhxsTifxDs6Osr+/n5zVvwwrqaCptNpm0jDoaHXNbCbAsQRuAKBLBMnhgwMDCpVMh6P23ao6IMdqbMV7s/8BAdzB4yt7QXnxvcOcug242v+GZm6esu2is4ReBk/xouxYaMkBxD8Tt+fzxX5rTXWd1dTdV03qH4ytcNcBsHSBQGrjt/RxGHXdc8m+ZYkv3Tx0Z/vuu5Xu677m13XXb/47KkkL+iyF3N/p9464khIh3EwRpxELjqNYLzXsyeOHLVx4lAb5rdByt4Xmh+n1VWxK0dlozJa5txaDYEieDc8DN1OPhlSFJ44dFuc3vOZkREOrCIAp2M14nPYGMbjcVtmTpCtkzOeHMJp+DOeYWeKAyLjqDuMeRImWVI7yJ/vGF9nSKZbnK6uGlP6S3uQNW3hb+sVulcDsp9rGTHm1cFWPXdA51n038iOftspIQ+cmbOo5O55BS8ycnttM7ST4GzKhTavWpSDTJGFdZPvvIuiJ1f5bVBEwDJIwWdYr1YdZGY4begSAwoDBfrl9ts+HRz43FnmqgUv6ACfrzretpPuum4nyf+U5D/q+/5Okr+e5F1JvjnJy0n+y7d7r4v7fbjruk92XfdJlN6R3bxiMlxabcXAMKErGFyiGFUS1XmYcqi8L4ND1PSbRYjOpl/4juexQTupsFcb2jhqNOZ+5pIdfXkmr43yBB9OEKNAbs4KNjc3B3KzM6QN6+vrrb+np6e5c+dOkw2IFXRMv0n1j4+PB68zw3kjdzIGxtBBDJmD8h1kCAxbW1uDrVKR4eHh4WD2n7G1g5vP520XPdC3x2w0Oq9CqEYKhebxuHbtWnPwtMEB3IjPgRPUiXOhXxX10hYj7hs3buSRRx5pNoLDRSfhwxlnHB1BBv7WAAhdQeaML3y5A6XngyhdBdDwbEAHY4q+G0nSHmTgYG2a0s6esWTivu5x46yW7WrRN55LHwykcJRQLb6P6Q6AAYDKwKj6I1OTyIvAY0dt0MKz73W8reqOruumOXfQ/13f93/vQjFf1ff/TZL/+eLfl5I8o8ufvvhscPR9/5EkH0mSa9eu9aQaF98NHJVTG5wizgzFwrn4fwSMIEB+yXLRC9+bW0MR1b82oFyXLCtS+Ny8Hs4VY0IxnNob8XJP/gcRJMOaaAwrGe7XYI4aw8cYjTKZLIGOqGiabIJnw5WuUi4M2iVWRmVGhCi+a9ORiXlY7pssV2Dy3eHhYXZ3dwc0jR0Zdc81xWWsrDtGw7wsApmb3nBgNqXG+KGj3NsTQpPJpKW13JexwqljxK4swOmjB+w+aCfoezib44DyQoaMi+Vr3aN6KTl/5ZnRM3pmxIkMcPDWc2TBcy175OHxQac9r+E+8jc26clSzzd4F8mKeKsc8CWmDekPMnFf+R/ZAYTwJwQCgw4AlPWONgBenI3e63igk+7On/43kvxm3/d/VZ8/2ff9yxf//kCSX7/4+6NJ/vuu6/5qzicO353kl+/3DBtITSscKUnTcTJOU52SgDbV1oGxOxImw521vD8ECuiVXNzfs+Jeao3CgXx5PobLPZkFxzHWgnkm75LhywkWi0Vz9KZqaAuIg+jOfXCSOAvqWWmfZZgsy6kqDeXJE34wOKMNl5SBLlBkUB0KSt/Z5MgVIZZP3/d566232ktumfzyTnwOkBje6elpW63o0kA4VIyEccch2Gk4MPk8DM6VHtwfOdIep+78T/u8LN3OByNnq1JnCeZD6bsdtWmb0ei8MsfcdEWS6Cs6j56CmH0vELmBhvWfPozH41Yi6UUjpv18D+Y46J/1kKAJ6vcENxUk2K/pBsZ3Pp8PKoOQPePt7M1+Av1m3ggnbACIfiTL+TQWPhF08XWea7Id3et4O0j6A0n+vSS/1nXdpy8++0+T/Jmu6745SZ/kS0n+g4tGfKbruh9P8hs5rwz5c/0DKjtwogyslQfBgQycqnhigCoLhFJ5TztZp9r8jwFY+AyQAwYDb2M16jUdYBrBis19K/dXB5/24fjoj1GZU3Hzfhg5z6JtOAEvZrBS80yMGIdujrcqlR2LUzfLlzZxrR2RUbr5xeTul+ra8TAuXn1obtIIjmdj4OhbTTOdAdnoGBtnQn4WwQKDxnCtn4y3ddz9cibmftdsB91wDTHtcEbndvi8VYEd/YXi8YQZgcjB1hmo9dMyQbYujzVAsj4gC4+9UTq6bZqDNjkA2t7oD39jtzzbvLX75DY6MyNjsrwcnFy1QtaFHDmXe/p51ulVxwOddN/3n0iyys3/g/tc85eS/KUH3VvnN+M335RkJZfDNRi0+Wt+dnZ2Bo6lIhkiu1O+q1evDja1T5aGWFcpOkLaQTpq1nQLdIfS3rlzJxsbG61O2qjBk2DJcE8F+oWx25j6/vwN3rTZlIAn31wRslgs2u5i3tgf5wfyAiHTPgdXL5KxrGi75VypIf/GkfK9q0cYd5ajWz44QqokQKGk8Q6k9BuKzPQaBuSsAt2q5ZcOBA6+ph4YU/6vcqOdzvRAdowrbfUzzWNbx0CNlZ4yxeAAT/DAmTCRxni6tLWW4dGve+3VDoBwBQO2R7tGo1EbAza+wvmSZYHkkyVthR1X/d/a2mp1/OPxuL0SzzrPOK4K7PQDhG2Hal1jHgZ9ZhytQxyMKz7n9PR0sNjuQcelWHGI8SbL1XVOPx0l/TYRHB4OzIgDQ68KgfIywOYCWQJb0SBOBZ7bCNeOwiuQSI+8khLlwGiuXr3arnNgok04Nj7jtwNCVQbz7naEVko7pWSZbrsPybKu2ZOd5mqdnYAwHaBw6EkGb0tHFslyDwv6slgsBvXlGxsbbZMkkI+reNAT5Lq1tdUM+/DwsC3GMD2CXKAQPNGEvMxB1kwIOTv41NKu5Hw71MPDw3YuJabIkPaTrjvrW+WEjVqNLAkqphqQN2PltiIfOxhsj8U3DlTYGBOsrmipKNBydEbsbAq7cWZsvTfQwWZA97TdZXMeo/39/dZf+xUCC47SWbaDI6Wf5pK5H/3h8KZpzqZsj6Zw6ZNf+WbbutdxKZx0spwkMueWpPGPDJJ5OCI+k1tJBm+zMOKtM744SigMqhIQKPcg1QERcY2dKArjYFJLnaBL+NyTCkbtvLTA9/DzMWJPRmGo3u/Es/WuPEB52fjHdEp1SDW1rfRKTUWhSRwInf5NJpNWv14DRX3rOPfY399vDtiGhTOirSBc0yUYDP/jxHBQdVLPlAP6xDjjaLk/sqQdOF/0d2tra1D77Im56sTgx51Rmo/nnMlk0iqGnLYjZ1MjzEswHqaIkKGpLs/B0B502QGu0hrYWHV46AhjW9tXqRz0FDTqH2dg9MeFAd4bBhv2ikfkg32ahoSjdtBErgRDno/MDLgAE7YBlxTim6yDbGdAEPR4rjouhZM2iqqOh86hQHYgyZLb9aw6Cm1lZGLEnJUVnQiPYrlMKbn73WU4ZZTUKLH2id+mZIxAaJ+5ZQy2nsu9XdZEWzzLThtNc/BsowKeadRgRXXgQnH53zy2swun6UYS1aHj7FyV4kwE2XBgxByme2rbTbfw3N3d3fZWbQc8ngGNgPEbFXs8eTa6YVSLLtkxmf4ADTuAuL8O/OZTnTHRH+suz7Ed2CEasWEL1eF6HJAt7TbN4n76b8vb963zHQZZ6Iz7yt9QhFzLvWzn6CGUjPlnBxgOBxP6bLkDbLBVAwkDN/pXMwLk7TksnuFAQz+R9/1oj0uxC16y5G2IUMm5UA4ODhoiZclwsuT+vLuZnSSdtgO28+Y3NaV2oC7LYQBGo1Fbpcj5CHg0Wr6s004F/ouoDsoiBYcTxxnDg4GCjSrpH2htsVi0PRKSNC6SVWBekOOtPEn5PFuP7Ofzefb29trMOcoKuvcSWiu3eWbKoHZ3d9vG+B4DXhGFQpNJ2FlDSTgrQBbuGwHDSLDrujz++ONtsQ6BfTKZDOqpvT+HMzie6ckjDB7nfnZ21hAUY2Y6hHmQ6XTaxoVqI6pauA7Zm/dFx5AvhwOzSwGd6YAiOd9LvC1T5EfbcX5GoePxeFDtRP8MkBwUPUm6WJxvGUD9/GKxfPuRJ9mdIWxubrYsEsrONKjpxbosvXL7fL69vZ21tbXBuxo9rrSBvXfwB3DzrjfHb/Bc6z1tM5VSq8Jop/2cV4De67gUSDpZNh6FODs7a5viO9I63atoFCc7nU6zs7PTqA87OaK/nYQFZHTg/QJQOiMSTwI5dYM7576VLzclQt+dMjL49LMu0kiWqbyDmxfN0G8vwaXszlSNJzJ5Bn22wpu/rujJyAkZHx4eNucHGjFCMkJxJkT7kZsNBKSzyjkZ5R8cHDSZ2XAIBi6fpA2VX8UZ2Uny7LpgByc4nZ7vU0H67Yla2oqRExTRWSM4j5+N3HX52IrpGLe/Omf6WUGAM0uv8ER3Kp1iCjFJc+oeP8YQB8dYuh7YmZSzUJ7BM5mzoO/czxOtBFpkaueN/yAo1Zpuy7Dv+xZMPcfiYOTqpkqJoEe0wX13IAc8MB7/StAd7rSdlY2LNMHKTQRD8ZPl++QcaVEG6hZ5ptNQhEoEx5CNGFFuO5JkuaovyUBZ6gwy16E0brcdnlMqlJH+Y6zz+bKiwnJMzg3cewMYodM2+sizQDiO+Cic675RdE/wYCwco9GobVBvbpF2OTj6DTROv52R4Jy9go++MYk1Go1aYOAZ1Xh2dnayv78/qFShLzZUT0KyJB1jdOCzIRJMnDnMZrNBLXyyTH1BfZSNkh0gR8bKdJtTde6HToPOTXNYr7Ahp/92vkx6oXNO3+FQTWORXVhvDQYIDoAdU3emGpFFssxcoe488UzQwn7oL7+9wIuM7uTkpNVo03cDIwM85MY4G/1yLUEWW4a2qmDMxQJJ2mZQ9lWMoatV7nVcCiedLGdCzfWY6zNf5vOtcO6sjXwVD8z94Q4RnpXHRmEj9oBauHbKvgYjckpunov7VcRDW0wpcJ4V3rPlpntovwMH7aQvDmJ2IMjSabcnCh2U3BZnDLUdKLrLLBlvI036CNJlrD3Bx/WcY57RKNmy8wZcDoBG3aA2p+/WSeRlg/ech7MmjHUymWRnZyc3b95s9+MaZyW0f9UkFr/RCbI8nLzfA2okatqKfhiR0wY/z7pHmxgH7NFZgKk/o3NkY3rEwAcnbP1EduioQQJjYr1xZoIcqk5Xrtq6bruy7RkQWWd8uO7bgcNychZk26U/BOP7HZfGSaM8dmwYEAYGiuPASOAAPcPPIMIfOy1KlhyXuUdPAvA8R1ZXSzj1gxrwvheuzyXKE3VJ4Rx4XPkBEqGGlWfaKSRLQ+WwAo/H42xubg64vZqeofQ4zbW1tRwcHGRzc3OAnECpdQMrO1fG0BUpTiuNMNnjA4Pc3d1tbwOBvzTy496WlZ21A5w5P/pG+3jVGggajhlDpD20xejMcx7wmyBhkFKy3LjJSJd5FQ7ae3R0NKg0QY9AvvDU0AYOxmznah2zw6DdPM+p/uHhYTvfwAKHjn7zPPSASiqcCufzijUCBagc3YH+gSZCl41cndXatjzJSVA22MEBglSRF4HXK4ENekz5rMoyucZ2twpIkc0TTEw3UrJIJZV9i8tBraOrjkvjpE0LmP5AQAjAkceIyciKe1lgnnQxKrDjMwoxR+kIb0dY0To1pg4SRg9GAMlwIYcXSjC5RZvdX9JHDI62Ybzmv3BmODr6SwCyM0UZd3Z2mryd1nky1zwajhcE6ppv2uf2m4fmM85LlkgnyeDeDq4OrKAtGyBy4lyCodEfDopMijExlQbSs3zrhj4YPNQGz0VXcbQECPpMMMO4cSboi+uxk2U9uZE3gdy6bluo+myHgw0QHJy9ABTQFd8Lebgd1iHkSt8MDqwD1ieX3tFO7NH0gBcY2dadFazKNJn0xQ65Dv2oY+9nMPboF+O0WCwG7xTF3hworbtuIzrrIHU/NH0pqjssBHadQwFQHM8427nhgDA2Zu6dTliZPIgIEgeB4DBCHJmrLxzVMRLSIIQNWvY9rFRUWyRLvou/abMPGwLGz/OT5aueHASqHDAuz/L7HXK+n503TonKFvrnHd0YP5TXs/zJMH0n2HGA8JydbG9vtzaZ96364mdVhMv9at088h+Px4Od9GowQ56eZEyW9A56UWka3iCPTtk5GHw42FUUhaMiqIIoQcGVW2XMHHAYZ34zGZhksNrNFBHP9sRoXWVoqsOAAERLmzwPwXWuerHNM/4OzkkGr8Gy/hoEeCIQXcRePH/COOOwAX3cz7sL2sEbrRMsGDsHPANCO/dq+9ieacH7oejkkjhpczg1yuJE+UmGfLP/t8E44hHJXR2R3I3a+G2OEOW10TDAjpA4NBs0zqnycvUwInPKhzHf71rayjn0mf9tSNwXFFjlXxE59yd1s3PFKOo4rMo4QBM26Jqh8CwMG6MxevOMPuPHc41OMFIbkZ0tP0x0oVt2eJ7fcKBwn7kPz4F6cOCnv56LcCbm8XIAMB1jHXCgtBws0/psnldBDrZiXeHHjqOONQ7HgMBOugZighHPdADh/tYfO3iurQjeuu2+2Slar0x3cD466TGp8zqmVZzZ+F4eW8vAcuIa2wCy8f1WHZeK7qA+0vXETs2Tu5dFO0o7BSeVTZblal55B2eM8/VnCJZXRyFQlAiFcTpsBfMqJBsI6BpFgzujXI/Iz/f03caWLJ2DqZAkrcQOJ2FEhvO1s7KjJkM4OTkZ1EMjd8+8g+SqgiZp4wdqskEQ3CwLT6zQ5oODg8F+zczU48Rredz29naOj4/bMvBaskdaSuUBKwHJIugT8uNa+oBxwcdaR7gGzp69vtETZHflypXMZrOGaM3VJ8O3mJMZcQ9TNl6dWttquoBa9+l0moODg4EToPrFGVqlB7BJOyM4VvhV7IeyQ+QCEqfvbCGMrnAfgyg7wopATYU46GAbDnaMveeKvJTck+b4AwKGM1JoHnh2dAmf47keZ5TOIhkXz+Wg624LcrnXcWmcdJImFAbYAk8ycHBOlaxMLucxgnTKCDJEQAQB0jtzWihGkjbhxP9O3SxsjN7O1NGdv+F6UXiuB0nZ0XOgiFW5cLCWJUa9ij4BPaD8RpieC0BmyIj/cZBeKkz/jKItG4Jp5cP9TkNPMHIe54KobGjIoe7TjTOwcfGbH+7FeLsGvI4TQRPZmut00PKklmVtKm00Gg3eaEMbOD/JwAnVcXIf/AxTPskyw3S9tdtmZI884chN/di50EdkhO6ZWsAJW++d6dnGbNfYFOjWFKWRPc5vMpm0STnkQX84j+cnw02q0Bv02UUItd98jl5PJucbUUGXeVzso+ib7Y7vaGfNtFcdl4LusDCsBNSj4rQccb0MlIFHQCBcozNPCoxGo/YCVUdyDyj3Q6mZzGMwQSymWpzCmeOib57kIZ112m9FRFGZjByPx4O3kdcAA0fs2Wn6t7W11dAt9cv02Zw+M+MoTK0qcLWJEb5l4TeOGGUznii709SaliMf3ozD2OPQdnZ22uo1HLZrt5k7oA/Ikn762dVRIBcjytqHZPhCAgKMxxo9Go2Wb1nxBCxtcKCl4gV9d7AjCzk+Ph5sEmXnhBxMw1nvjbwNdLwqFt02fYEM6C+/NzY2srW1NXBe7hNo1HK242XClO+xBWdC6ApjQTvrd6ZAyVJdGWIKyUGJeRtn6gTaGky4jrcvmfvmfs4E0KlaAIAdPGiz/+YLHnjGv8QDp2YFr6UxGL9TD0/kJcPFMQgPSgEFZPII42WgMA5+qqNFSd1ePq80DOdwDQPidqKc5m25joP+EHDszKqzq3xtMpwQ9TOdyldFQ94YkQ3NsuU7ozc/z1U1ID230+MNUq795zwbFoZpRMLEWXVu/F/1xbKwIbp/1gHTED6vcrF2gpSAgrqQqzl6nCtyMrK2bHiG7WWVnKyzznqsA5xruaKDOEJkYieDbnTdcvLYk/NGz5aJs1Xabg6ca0wv3iuT5PNk+GJZ39tjRB+5lnasep4PAoHpjGp3tgc/11mWn2sb9z3vd1wKusMdQGik0fC2cEsoFspvntmGY4ThNLwKNFmmWLSFlM3lauYQrcBc03VdS9sXi0Wrl4bXXiwWDXHB27pkx2jRiAenZgRgpJEsy3owcHgw0nen/U5DWTq/WCxa+RjXo2DsM2InxvNwLt54x/tXEwxdjWC+E6Piejjds7OzJqvxeNzqSnkWDi/JYNIKZAYHe3Z2llu3brX9tRlz0BN9rjJEbvDNjAl1wt6fGkeOk0EmyMOTW8lwLwpkia6SOaKD1jFXP1CCyXi7JBPbccptR0/bXQ3Bij24Y9sF55reIavinswdWR8ZE+zONFClYbAvsgCXZ5K9IFdkyN7TtJmx8rwRfoLsx5Sd6Ubbfy3jM93J985AQM2mzhys5vN5dnZ20nXLfdLtq9bX19uWufc6LoWTTu5e+WNhON10mo6ymDJAEVBcK6gjq9HVKqfLQPK3ayqNVlF871FhZAYyQVGcljm99KAmw9IqR+6a0tpxowTmuSwTKxRKgyF7YxijWf9vBEPb7YzcdjthHCbtx1GZm7bxmrdzWs6YOBhzHf2F9jDKNGqyXExVVYfmNldKBMOHHjLH6Cxic3OzTVIavdb5kSqLZMifGqHN5/PB3APXOkjwgz5yrcs0CfyexDQl4nHCwaI3yJQgyuc1o8WRG1l7PPguWaL1ei4HDt3Ok/4527GMkY3lj2+hjw5E1jVk7SyzytZ264ovZ3jWQc+veC5gVaWUj0tDdzhNRHAu0TGqnE6nbYLEb2GwA64lO3ZWOE6nunbSPIMqB88CO6VNlikjaNVCx6BReCuinRBt8wx4jaw2Lu+lwb2qcZluSIaUB6iWt0Jz3SoHwDNMEZhv47uaxnIt3B19MCJCPrQPYwMVOZuqk3uebOJ6BznGAWc0n88H+3Bwz0preEw9IYs+UcMPcp/P57l27VobRzsg9s42DUa/0UPabD1gEq7ymc4Afd9V9Bl/81yyTq6pFIUzCpc80h6jR/he0yU4eNsrCNqTzaY+aKeRtkEME3TOgj1HhXO1Q7x69WrL4Pjccz+0w4UDZBFkIPST7xgzghayRTZ+J6cpSfp3drbcmRI/5r4/6Lg0TjpZvs3DA4Xx2rk5pbRwrNR2mnb4ybDG0ctpK1rnfxtBkoGh+LcdF/0xvWD+yU4Yp2pkSx/5zkgbxeQ+Ts8cqAgmPNtlcThT3xMH7n5V1FlRMu3DqCsqNUIwSqlBuWYL9T4EJ6MPBwfL347H8naKDp/K/Qn4BCm3xainTs4uFovB4hvk6leI8b/l4PG0A7Ns6ZfbwRiB2JxB+P4Oqg7CDhQe3/ps5IYjMT3isbecPG4eP0CBJ9YNdpz5mMqrbXD/aDvX0T9e/YZDrCCk2hiALllOStpmnV26n1xvXXF7DXjQBXybAYZpqXsdl4LucPpqqsNKYdQ5n89bh6mRtbPE2Vf6AAfufQvMc+G0uY5tC61MCJxruDcbyjO44/G41e0mS2QHbcJ9QYcolI2wptooChNk3KPWYiZp+3Y4gJg35FrvwmWHjXKfnJw0XnmV8ibLckcQjB2gt2xFBkbNPNs8JGPjMTN6mUwmbSWhjZXfUF1GZl3XNcOlvd64p+u69hYgyzU5N17LoAatV199dRBImENBp3wd/K+pMwc+v9CWca80DmNjh0j9tB0G8iUIsSeLwYJpMtud03SCGvenrd5XnXHD6Xmlou3a9s5599Ir5AaiBnG73NJyQOYERf62TVde2HpJ2wz66CfVGKuqtjwBik2hh8gYRwxqt03Xd0TW44FIuuu6ja7rfrnrul/puu4zXdf9Xy4+/7qu636p67rnuq77u13XrV18vn7x/3MX3z/7Np4xEIodRlVGBOSaVZTXk1JVQY32zPE5clYEZvRip8gzfKD8KKkH20pqY3a6TqR1FUqN2tXBejbeNImpFZ5v9Mf9ncL5vnZ6VcYVWYLOnOXYKZtKqu2ofXJGw2EKoqa8pj2cZtb+cLjixpmIES3XVPqG+/u+pLueEAMpGRE6SzBPWzMr0H6VX5Up55vycMrP36a9sA+Ph6tImKilz/QHB+aMkjGq47kqU3I/rdN21O6T/7/XGFrXnGVzcB9n15UmcvsMhuoz0T/Gm/sbaNCPWlRAoEeOta/3yqzr8XaQ9EmS7+n7fr/rummST3Rd9w+T/J+T/LW+73+s67r/Z5I/m+SvX/y+2ff913dd98NJ/kqSH3rQQ+ygQTBERq/C8+8kAxTKYboDAdigEDDGZDSHkG0sKC9/c54XP4AKWJQyny9fBsrnVl44Uqc+OFx4Tz6vvFV1MN7YyKllNWg7V1biOR1EUVxFA39Ge5AVcnc1QN/3gw17bFymNDyxYiNhTLzfAs8wIq4ZgA0PPXB/cCi3bt1qwY0xMEXjN1UbWYJk7TAdsKx7yMWO223w2PBZ3y/fM2gHid56zD1RZmBTV9wi18rzOjNFToyF9/dw+7a3twdzFV7dSNudJXmiDt3DxskE+A5kTICDWqGPzEtwPr89p2QfwA6LPNMvg+665f7l1hscOc7WNA6VTq4eoQ0OcsyT0SYDlzrfwQEj8CC644FIuj8/9i/+nV789Em+J8n/ePH5jyb5Uxd/f//F/7n4/nu7+2H5DNGdXwNlfowfnKEjKsdkMsn29nZTBKNVO3obDr8xVhx5Re4IG+Gj2DZ0Bh8lBRWvchykYaBgnJ2RRkUptAcEPZstd8ur2Ydnt/ntSSAjQGqJTYkwGWLOzMioXsv3tLcGGC+Y4B5Oc2uGY+7caT6H5eSqFr6raNg6ZKflNhsx82zL0uM3Gi33HDaFRYrrZ3pug+fZaTvjcNZoWVtWdsL0oXKunryjtG97e3sw0Vbf5MNRMw3TfoyVAzeBr+pBDdJG5sjbmQq6beogWWapVWc40CtP5npOgOczgefMC33w2FRUax00mKyTls6mAGfWe3QUP0LfHjR5+LY46a7rxkn+eZKvT/L/SPKFJLf6vufuLyZ56uLvp5K8cNHZWdd1t5M8muSN+9w/yZJ/Q7FHo1Hbq9aHaz3ZdxgKgc7XV0WBQDzD7bIzBpm/me2lltacMsgBhTBPmCw5LnPHtZYURbmQ04DHTZYz5EbfKIfRhblbV30gC2SKIzH6cMpJuwgWBBFk6MDF2FQUWZXVfKtpEfOsBASXszk1R57oCXWxLsczcrMjcR0zgc1OjvbTrq2trUEbPZbO4OyIqYPnfLhQ66dfLAGqsmP3niYYucefunqn7M4A68Sv0SjjtlgsBm2bz+dNtxlj5E8lQi1t4zzX/tvBWWbz+fLdldS1YydUbJjbZU7FOuo5H8pOHRBMc9Z3QtIuriMY+f4+3/11kOdafI5l7zfCkF2ii+iWKUDvO06fqQG/3/G2qjv6vp/3ff/NSZ5O8m1JvvHtXHe/o+u6D3dd98mu6z5JNBmNRq10hletIwSMydye03TzPTUiJ8MN0J1+OXqieDh1G75RniMtSBmnxnkVOZm+8MF1Ro2+hj67ravayL3cLjsWIy8jbsvTWYOdMX3G+TursSwtUxyXkZpTYfqKwVUUzAEC6/u+bRpkPtDoExngJOgD4+r01v3kuZ7pp73cC0dY98GoKH0V5+o+WGe5xjJCdlUWLks1/+5nOxPkfMBL1y1fZmAk6gzRtgLirM7MmagPbMNjgIzpu23VjtP3dMZoGtD3NbjyNdwbP0L7rZs4afppSpDPnEV4bsEZH302zeQgBQhBb60n1sNVr+Orx++ouqPv+1td1/1sku9Icq3ruskFmn46yUsXp72U5JkkL3ZdN0lyNcmbK+71kSQfSZJr1671KJYjvTlfIzoMJVnSGAgITpRo7wGof3NP/q4RNFnyaCiG013TDH4fm+8L0nHazP+gVmZ7vYudozar+GjTZLJ8jx+OEy6bASfKm05IhpvBWGlIlfnMyJe+JsNFR/TPs9c8lzH0bHidgAPZIls7xZrem4JwQK6b5ZtSMcJMlptBuZzKBsJMezVcByoHcgJGkhweHmY+n+fq1as5Pj7OfD4fZDyul7ejcZZjGfM8Z5ZO9znXKbgpCMbGYzqZTAaVOC7JXCwWg3cB0g6QnrMAZMxcQS2rQ05eFWmajXO5H86svmTaE3+MB7JC7vSXVaZ8hyyc1dgRW7eTJRg0zebgbzlzD+zGcmYCFh3we1V5Ew/tQFYPctJvp7rjsa7rrl38vZnk307ym0l+Nsn//uK0H0nyExd/f/Ti/1x8/zN9JXnKYWNwZKLzOOHFYlmnagrEq/k8uDhLp5LeDIeD64yUjazY0MbcmCfCvC0kA1J3ZfOAojQnJyeNL0wycEZO43mey9HsYEn/ORdloc+uNkEpiPTerIfrPB6MDzI1QrjXhlF2rHbM9INxZazZgMjoyZmSA4zbahRoZ2AnixzNCzuoE2wqyrLegXZwvOZ80SXGam9vr93XGQEbWzm4sYGUddEBDEdmW0DG4/Hw5bLmNkHbXsRhes3ZjjMabAFHbPRsO/FbwE0nGbFadzxngz1hS5TLco6znNpe01s1+6APdrY4cPsTO0QDKORle4cuwea8FwfBgICAfG0fi8WivQzXvDNU6sHBQXvG/Vzk20HSTyb50e6clx4l+fG+7//nrut+I8mPdV33f03yL5L8jYvz/0aSv9N13XNJ3kryww96gJ0jgnTUcRQ3GuFzBsbOFgfNQKNI5tMq5+rJCt83uXujJJSFQeFar5bb2dkZGIxXJvG8xWLR0CZK5XRrsVi0/Xr535UVIFGjZaMwoyY78ul0OtjX16i7OjFPyhEgMX76juGahzNiNyqqKSj9cnAyMjEihku1Q2Js64sJCB5G/06R+RwdMSqvtJPRbLLca8WVA2RT9LnSbwQpvvfmT26jAxHt4HzkQICtqburFJwlIUPzn6aB0FM7aGTBOyihEOy4kmRnZ2cANGyLljH9ZiUvDtH1zUaxdlwVQOEbqJCyLWIHVD3N5/Nm96YmrV+039kR4+b+uKrIOmKdqROH3l+77/vBbofY2f2OBzrpvu9/Ncm3rPj8iznnp+vnx0n+Dw988t3XNcWwEduwKkeGYJwe0/GaRjB4TjVMY6BcTkFoC58bQZnXq79N2+CweLYV11SL22skaOdVUzZHdZ9ruTlFQ4b1HPfRPzgVjopCucapH5+ZLlrVR/pgOdMPAgjtwjCqc7fBIDccn9NTGx2yt8HT13vpjgO+zyGzs4P2RK6RNrpmefC9x4O2+c1Clp91wPoIMq8BBcdiRF313XpvYFPRncfdemTbre2yXhAUHEitfwZpRrn+nr+9gtOT+UbNztx8Lfcis/azsSfQbbUD95FnOUNfle16gnCVbGrWVY9Ls+LQ6QvGZmUzt5MMS6cwdg+uOTrfl2gHIk2GkyIWlmePnb67UqCib9/jzp07A+O18/NgVT6cSG9HYl7PMljlEOy0nMZzH66xQ+I6lyjZ0WG89TrXUeMQ+NvcMekoMuMwKknuRnfJ0iAJtHwOJWHj5k03/szP8/OhWhwkGEeXbzJmdmjIFaTu35yzCokbdSMXp9aV4uJejN3+/n7jj+GMZ7Pzl+CaBqCv6I15b+TIykjOg04BmYI+XWHlYIleUw3iLAM5V5DjMeGeAKUasPhN0K0VOujLaDQazNvwLMvTlAlt7LouBwcHAxDg9yqa5kLnzenbFzhgg+DRGb8Zx/ZbM4h7HZdm7w6UmNSfFP7g4GDgUCuyZlA8EWNHiXNNljW7CBbhYzAVSRqBuAaTCSaEXGf5///tnV2IZdl5nt9VdbqrTlX3aCRbNoNHRDERGBGSsVFkGfnCFiTIIiS58EVMwCYIRMAXDoQkFoGAL3KRmygxGGODEydgnDh/RIhEjiLpJheRIscjeRRZ8ZgIbKFkUBhN91T1dHV3rVyc/ez97K9P9fREctdRZS8ous85+2etb30/7/eub6/N9p52EJxn5WJi/biyF21wFCiQ9++1szGSIRVlMyHuiUFQSmSnw3n3798feU6UkqcgCQR10yn4RcaE8tJnAhBzyEsMLGeUlJS77hjoHQaRGddzduXqGhyJHS2/ozfMxcHBQQ4PD2c7mdkpmTLzAhj9h1flevfu3Rtfo0XAMa3mcz2n3MOUEI7FG/2QaXhLA8+xOWYHZxbmfH9AAVQRjmp/f3985oB5R2ewVV4n5sDAeA0+aobnahfbP/Z0dnY229TKx7BYSSBmrhgTb7u3bFxBRH+hIXxvV1oQJLEV27v1kd+xIfrLfXlBAIF/f396cw3X91YT29pOIGkGBm/LRCcZS/FAKUQpR3EbB7WKHMdEmJs0p+w0zxMJj2W0htPCSTlCW4EQvA3FPHMyOW3eq4ii2CEYzXplHYXg3n43H8rrd7Nh+AcHB7PabozTymrjcaZQN/+n5tOF+sjEiJH+c087KQwB+TKffrclThl9WK1W43i5rrlYkIlRLcednp7OEDLXMdIhc7B8+deO0s4PdMqYCOiui3ewtuMwcADZM/dQN6bLvDbiQFNRK8c46zg5OZnxtwQ5rm1QcHZ2luPj41G+oGkjW1N2DrqmbNAjU5OmJzmXoIueWl4GS87SuB72tb+/n1dffTWr1ebtPV7AI8Or1S01S8IWqZmvVWIViTuj4FouF2au7dC5NmNwkcG2thNI2sbqJ4VIYzAaFAun4ZVuv8eOCLa3tzciN6/Gc74F7mhIHw4ODnJ0dDQuVPXeZyvyoHzGgAMkODg1s7F7sQ0FMmJm0q5fvz57wKI6Dxy95eLVbcZDgCKiO318+umnR0eKwmBcyTxVZz4wYgzNv9Nw6q7acPrtxdZkemGplf769evjXzJVfNAvUnSu6QBvNMl8u3YWR+FgTT+hcTA65AvqRPbJ/I3h6B/n1IVnZERQgcaDuvCmROgUsnY2WNPjmiWg08jC9bpeYCSYQJ+wiT4ypSqBeXOg9DgIBACgvb29cXEMB2w74yUMngcCs8eP4+W6fE4ymx/K3fj3/Px83CbWWR1+wvPquU0yk60zJ2zH35NJuBCBzBIdse4DGszRI5dHtZ1A0sl89ZaBmwtymkUk9SR7Mc6Rlmsm86oHT1ySGSpIpsoAjM7XR+h+d51pERABT4rhTCs37dI4+ufFhGT+Ql3TOUYwlQN2mmlnZVmyo5cXNJLMghFjs0PjfHOdZAQgNzsw0Lado3lNoz7fh2OQJ/13aZXpLsuIQGgUj6MxgrFe1YADGnRfkPe2hTCO97qEqRgHBAdu01voiWXgrKNmfwY3rlJw5kGr2Y11Gnlal5EVesZcmiIhSDo7pU/IyH3l3ugc84UMvLe4aTD6bxtx2ZqDM/NIAAEMOaMxIjYlRaDkWAdco378Bbpf17TqwiCBEJlxLn2w39nWdgJJJ5OwQLiecCbDwvDCQ5KZQZ+fn88K41GMZEIiCJdrmxKAf0IJbWxWUjtKL04l02KIU0PoCiMl999Rl8a9GJ+N3E/g7e1tyhbZwtN929vbGxdIoI+MhNw/Mg87Qa5Vx2wEgDy9Cu40E+SME7GzBglCuzDGSv2wyc/R0dGo7Iz1wYMH4xN1BFKon7Ozs4d2TWytjfw8Rm0n4fkENTkDY27J9KxLRtFOuT0WAin3gXJxDTLzxDwzP2SJDkrI1cEZ/cGpMR/JfI8RKBboMoMQgpYRrgEB9zJ/a102yrdsHeD8vlIyKS90Iievfeztbd58Qx+dAYOY0RnGc3p6Om4nbJoDm/S96KuzbI8f2RoUUQvPWAzI1uv1SB8REAwOHtV2AkkjKATt9MApY7J5sstpI4scTn1xwiyWoBQYPtEumZeVmZOu/DeKSqtP87kqoVIxRNNkirZQIvCZUB84Qiaee92/f38MQA5g5gKhRvwdxuF3QtKQH/y5U2iPlz7Xt1n7nYl2UsgPJIGTS+YbXVnuRkHoBH2CBmC86IkrHLxK7p0I7WyQL/qF7jhjq4iHY727H/+6mSoBFDAG8/YeG+cxx0lmToUKC1MlXhsw9YUeMtc05oQqIwcg3slpVGdU7k3rTTEaBHkRsmYkBOyqD+gU5zN/rlKCP2aeWpsW1pEHtplkdID8EVxYSMRR0rzIZx33OJxBsV2FqzbQG8+B++Y1FfyJbQQ9qVlPbTvhpIlCoDbzgn4F0dHR0fi6LAbG5va3bt2aoWeQBNwbDg4+jAUClH69XufWrVuzyeu9Z71ez5w+xm4n7PIfO2ajTjg/lNCKm8wXIggOoFoHIlCGy3xwQvQjmT8t2PvmpbPwZbWMCWNxEOJeq9X0AJCRhx1qRZA16/C1K9JK5nXIOCv4PSij6jAJyqBPy9v3wngoU9vbm3h1nIEzLmSHsTo4oDeMDdlhsOgZ5+OgDQz4zaWOle9drTaldg7eRnjIDifAvXHcBFHroYMLevzUU0+Ndsc8EeBcaeFrMwdG5cypbcq6RUbmAG2ABSDxwjN6j6zIIrkG1TPMkSkF+g2IqA7Z2SE240y+js+yhxLxepDBH7pBoCNQUOXhnTGZfwOcbW0nnDQCQhgI31HKq+VOF2oKlGTmgPx/Uinuye9WMPpCmoxQUSajKZwYxzt40HecKqVWdbGAa9d7J5m9advpf5KHojj7ROBsrDhOG5GTHRnXt3P1fTEw89solymabVSQ+V3kxr1AF35BqjlwOxajcvpttEy/6S/UC/cyYq+8LrqBc8FovReKx2ODrftqI+caWLiP1wus43Yk6Ik5TsbMOOkvyJvrcg3G6KzTiM3rIUa+RpP8IR/6wDz7nYCmH7E37m1bIKA4a+F8O110AdBiyoH5NAWBDzCatf4TbGuGaD4cnazUDLLhWPff81fBCHICbHlnTq5fF4u3tZ3hpOkoq/kYVTIXlh2206kbN26MCgcKT+Y7yTFhycTJcV9WhuGzUPLT09Mx2trhszKOkwEVUCMLakUxXa4GWjk6Opo5IkdVJhA0gCFiSK7pTaaMAblRZ8r1cAI8vAHKOz4+Hh83No9JkML5r9frXL9+PaenpyPCg7+sNbnOZKhewEjsCLgXcnF2ZJ6u0gueC+bJNBD3fvXVV2cZkHWGDMSBjnvhwJwJ8DtI1/yp9ctVSixaMS/Jhk+3kd6/f398tyIO3dUt6HQyZWRcH4dCIKyLXhxP2SLB9vT09CGny9gPDw9H/h09M49Nv6yzzjw41vNpuwGJ2i6daThQmrPGdpl7KnXQp9u3b4/yZvz0hTl2OS73uHnz5ug8+R77AwASENEvHDFUoRc6sUVskN+rX8GmLaeLWnsUzH5S7U1velN/73vfO0upjeRM9BMhz87OxvS1oqnKcdboTTrihQZSECNsp4ucxzXrYhoGV/mp6mzoo2tOKxJ0mu1gtQ1189kycLSmuYabayXzN3BYDvwGQqiIyBzu/v689pb+29j43SioGjh9N1rnnGrYlhPXOjw8fIiPxikQHGtWUoOkUSfjxFFwDg9+OEtxNoIMvSdLMtXq42zu3Lnz0DwZPdOPml04s+AcZxqVhkqmdY1k/hg18wrSQ++SKXvALkwLgB4JIthXRar13gCECrw8TtNC9Ne2Y2rKGUAyfyUY1/ccQOMxNnP1zJttuCJ299Vyoe9PPfXUCO4qOiZDQk/4/3q9zsc//vG8/PLLW+H0ztAd5oJcxoTykNI7BYJfdCprZ4qxw8NW5IHCeaUaRFnRNxyiDRSnYWW0IwHd8i9G5L7aCdKHo6OjGXpnQTCZ73Pskqlr16bXbiVTQODeybRYw6IMToQA46CAHCqlwWecIfNmg3MfjKY4j77z/Wq1GhepauBKJlqBwFwfwjB/6jQ3yUxWyAPHy5zQD+4J8rXzg7Ki3NDG6zQZVMZ1/IIKXxP980bxOChk6EU+nAv3NKBxsEKGtgPrKHPrJ/I4hqBheox5fPDgwfjChYODg7GqpTpM7JMxmlbxwiOZXJLZ04XMH8CK/qG/XufBuVoXLCPmg4U7gwqu4e9NfbGgSrDFTg2Ial8d2KGiLF98AfoDnWaaalvbCSddjZzvqpJBwNvBGomgfBVpJJlxtsnF24LyOckMUXJNG6cXFypfSoqUZLYSnszfAM31rehGo0aK/uwMwuhnG/ogGHC8A5jHzL39xJcX11BqL5LayZmfN/drh+iVeyu9EWxdT8BY+TOCtGxMeSBnrmOn7ywHZ0h2ZW7XDwbR98pHVp11BmGEhn74GHPRTnm92Ffn1RmcnTHHYC/bsiaChMED806QSyanjLO1U0NmRoIOzFXG6IozF+beVJXHRh9qlrYtC/Sc+xw7Pa6PrOqcWJ703UCB67vazHaHU7ZO2s+4asVZHiAQn3ZR2wknnUylWTZuFJ1odnJyMitbMzrBwFB2P90DF4XyMvFO91wyc/fu3fF9cKzmI3QipFNbjBL6BG7Mxk7EdtStj4PSByobGAso08jJhoLzROEcrPxILQ6y/p/acK7j9JwAZsoDo3YFAQbipydpBAlXWFQkmUzByxkCqM5UD+VWZ2dnOTw8zCuvvDKiJhygHb0f5QchoRv1nsmE0pChOdEkM8RpwJBkxlFyP7hJeH36tb+/P/LivEDVDpP7mbetmZCbZYXcoVZYGLfj4Xh00qWOOPG60O1g7Hvym7lWgw3kfXBwMPLHfkO5Axd9NkcMt04mBhr1+ZS1Mg9QStgtQYyMvDp0gwTkwDyi1/QJ+oy1qGSTOZnvR9dMh1hmda3lorYzTjqZl2xhAFYIBEd5DuiQCawoCIXiXJycV31xVMl8AyYcGU4Qp2F+m0mw08Ook4zK5BQTvo1zjHpAQVZ2+uVqAaK870PrvY/lR/Sn0hBsnWgke3BwMCsvc4aQzN9OQvOqO47a3C19M9J38GSMdSsAI0OjG2RMWSYpuvl9c4R29q1NmwTZaPyghYOfEbuzEhZZ+Z40ljF6ARb9chblHf1wHA4WTqstb+vd/v606GwZ207YKIsxAGKsW154M7WD3nqM1gGcrx2w+fKKJslikRtlsC4nRR9cRsq4Xa3jrMNonnEa7EHZuEjAJZLOrPnOAQY52sFiU4yn9o3+MNf0tXLqlie2cVHbmeoOBo1wWb1OMk7e4eHhWO8MykMocKQIGiRE5PNCRV3MwUgQuiM5iM2layiFeT07flMEOHHTNyg+Y3SlCBEahYd/577wdyBZKwIBwoswPKGGctAXI7oHDx7M6s9BaqY5MGIcXeWxTb84dcTx05wBmGf13F0UGIzAHZCNnpG5aQBkX9NKb0KFjvA7wd8Gb9kzz06N/b31jUwKGRLMOIc+GFTY2djpklrTVwdEZG/7AAl6sczAxc6M/ni7TuaMYIZjqxkEn7FdO2zvmeL1GPSW7BHKqVJ5RtnO5iy3JGNliqlTgwajfMZ89+7dsbILIIRNcS5AApCFLqG/7gf3rfQp/UY/zWe/XtsZJ01zpDS/ycR65d+LEyiL+VJfi0nFudiZ2HBtsHbY1Vk6xbFDqBE5mQIB46jo3Gim9g8Z+Prck882FHORyMPXtlx9TZ/j6F8pFiNh5sPByUExmTIYB6E6DyAQIyTPJxtZcU1nSSBbIyNkzzi5F7/bgWKw7of5e+SCI3Ew4Dg7HCNn0xUYJb/b4flcxkEQZSw+zvSCgQpOySVlzkasT55LZ1SeU+YE54Lee9GvInhnGtYp+oAckDnBwIHCuklffB/bvMsqPQ9cw3SfETfH37x5c0bROcuwThrcmcuuWYypNlMntXKsBqBHtZ2hO4hKoGU/mspeDaYCbLQolCsWPDnV6dJMmyTTwgULfY6ETk+txJ50UIlTH1d82GhBs2QJyfwhAFIuKwNKAy+O3Gp6aSPhfPpkg7UB8LudqlN4y5sKC5wd50Dt2DneuHFjfNLSPCAODseN09i2dwV8OQZzcnIyfgdSY98Op4+Mn7l0ur6/v5+Tk5Oxbtm6gp6ARkGGOBijfnSFChXoDNMHrW0e2QeN+3F6nqargcV7nJua4fpUSlhnLU8vyvEd1JCDkH+nLNU0AfPuYMZvPA3qp0xtw+gZ53vr1mR6FN5Zg7Ow4+PjWZ0xmQxUj6s7bEsOpui1+WD0DLs3Vcoidd3PGrn53aEOspYNsvCe185KDZZ4FsJyqW1nnLQ5JSMEK2gVjJ0aET+ZVuNd+I/BGuEiXKdiRlRE/GRCqQiUVAknAIJAAcxn2pk71XGKZKOgv073zdP7KTMjQqM4FjcxWKNjEJdTNf7u3bs3poxWMJoXUXw9oyOvyNtZ0QgCyIm+0yejF5yYna/Ha9ojmQIU/THC9poAMnCmUNNsmgEChueFH+aEBV+uZUfpfc7RA+TnYMJ9WJx0RYAdWEXg7jNyxx4cTCtYcZaH00JnsSOa9wQBCNmxGqFb9syZ10mwX1MpftKy9z6+2IB+e5Gy2iL383qMr2nA5W0EHDhsj5VqM39tfXGGRXldzSAMjuDgCYpQkj6ntp1w0jXNxFl4IDg/O10EiRISJZON4rIZE4pmxcdZMpkoWOW47WBqRQRcI0pG3aMpARQV/pgVZ/OSKA3og/HRN5QOmTiDsKL7c3VkXrA0enbqvVqtRoRhpcaJmL4BxVkpzeshFyNPO307OeaI3+H7XHsMT88KOmOqepBMmYizIGcV1M5yD2/C7vTVVBGNObJzxlmu1+usVqvcvn37oXnx4tVqtcqb3/zmfP3rX59RDab1kjnVQRBDX3hYwgGEwESq7uBVQQ9OxwEXHTevzT08Z3XetmUZ1hdnUIwVJ2d9QT851ucgE+SJ7VWqyE8cGkXbWRrRmjqkT4AN61dF5AYmzJ1fvpFsNoPzPADEHBiYg0ch6dflpFtrh621z7bWPt9a+2Jr7eeG73+1tfY/W2vPD3/PDd+31trPt9ZebK19obX2A693D3M2IBVanWwjXaeHTnWNKCz8uugAYqiG6EjqCXRabPrAHBoo0pHW/Gwy3yDHHJr5TZ/v8TB2G5YnmHNRDuTqYJbMNxrn+hii0aTTxtr31uZbVtoI7BztID2n9JXreJ9hOwJnOFzLxsL1qsOp8uZ8zuMa5qzpl6mgKmPmzX3EaZg2ckYAADGiNcLiHOgD7l+BCPK9CCWzYM64LQPrsu9pPfKiq+fMx3EvAwnbgvWdcVt/ksz0zPwvYMHyJtgl03qEA1pFqvTdY3ZFjnWiZiAGLtsQMTKv9lH7zPH2BzRnn49C0LTHQdJ3k7yv9/5qa+1akv/cWvsPw29/s/f+r8rxP5bkHcPfDyb5xeHfRzYGenJyMuOYGJQXQvjODggerCJQBEWKd35+Ptt20rQGSgJKdOqDoYHC6AMcFkjPCwunp6c5Pj6eraybdvFLAax4ycTXoWREfb7bhu496X4zTGttTMNZafd+16CO/f39sYoABXf2Av9LcLMjrkoIb+4FOwwMxMN8gMwdnBzgQCQVAeK8WZ03L1nnzxUOzB+GZC6aB6aMqoyE7CSMfsmQeLMNfeU4p9b37t3LrVu3HnIyPFWJA3AANI/t/aRxPug5fcQ52vmhRxxvKoGxGB3Tb35z0KBGPZlK6Y6OjrY++cq1qJpAhwj+2CbXNteO3P1kscEGAdILkNvmBj/BePneQbWid+YE2+N8xrNarcY1MChGb1FrYIGuOntAPt803dE3Z786fLw2/D3K/f/FJP9sOO+/tNaebq0903v/2kUngKAtPCYBQdcUCwXifIThLQIxsiTjwwIYK/yvHTb3s0P19XFWHOcnkBxp7eAqnbLtEW2+r6v2NBuLkZEziJrOOqDhXJGvqSEHBaM0Zyg4MJwZfTTi4niaUbE5Q/5lvPTJNItRZJLZYiIGwnyvVqtxDpkTzmNR2Pdz+ZrpLq5bHzpCfsiSBWoHJveJ8fHKtaqjXhdhEdF2wG/01f2sWZsDoykEU0A4iEqlJHlIz+2ccEJGxTV7q47YNd7Ijc92lF6IRa8BLM7SHDzpu/tRqQhTFPzuWmaP00jYcnVZpe3eY8VO0XMHN8vQDypx75rZVsS+rT1WCV5rbb+19nySl5J8ovf+meGnv9c2lMZHWms8/vQ9Sf5Ap//h8N2FzemTkQGK4LTZkdSKYgcIr2kuEoW7du3ajDvyhCQZF9yMYCkr814CpleMbOg7exx4HPxLxIdj5HpMmEv0GI8n0/2z8/f3XmC1YuE4jIysNDggVykk8/SQlNoohWuCosxVmg8nGPhtKRV9mGIhEFY05DJFV2PAk9uxgbTtfByQCNy99/HNHXauOBPkZ2dlo0bu3IcxgwS5nuV8cnKS09PTsZ6c400bMA/8JRmR9WuvvTY+Vefzk3ngpQ92euiPA5szEq85oBM4GdNQHOeFRo5x5mhKgGMJoKBLBzv6hn3xVnfPn99riH32Pj1lCo0GEieTRCYGf4AwPyPgIGqaE9uu62TsvkdfkPc2enYbrbStPZaT7r0/6L0/l+TZJO9urf3JJB9O8n1J/kyStyT5249zLVpr7UOttc+11j6HUGrKzIA84RxrVMkkIQQbEcKvRlcRuu83jHn2KKyNxgL2RLu/BBIb2jYumz452jtyGxXZoSIDo2+jT/fP1+F+moeH6lQtB5SPa1R+uN4bORmFID/PpdGgna8/83/3z3NlQ6MfXNPjNc9oB8D5vpezKq6JkeHQvTjk6zswGAR44dSPFRt1XaRLdmQGAoyPAEJAsL5WR2R5e/7RF/pjUGQ6xpUxfOZ+Xl+p2aMdrlGo1wI8p9iNgyXjq4jeY6/ZnFG0r+n5d1Dx9TjfIAWHXYEav1eE7usahLiKZhsHX9sbepil9/6NJJ9O8v7e+9f6pt1N8k+SvHs47KtJ3qbTnh2+q9f65d77u3rv7/LezzWtAWWZwlitVrMnsOrCEWVk8D/JtC+GqRIcJqv8VHRwPaIlk8214VpBHX6sFeRtDgrlY48MkB7nuGaYSbSDNTJj7BgI/QVNmXvnM5UxycSBOWPgGI6/dm2zzzQyxbE5wCXTAorpDKNY3qySTAoJUgEdu8TRaJU5Mr9LnfB6vR6ra4xcz87ORiTPtfb393Pz5s3Zy0pxfj6m8rK9T2+ItmM1QmLukKvRIY/em87CEJ0VsZ8H+464T9XBUr7lygV0nKxksK3RoZtDx7neuXNnlnazpzhzyfsWCT7r9Xrs/97e3liTbnCEfdF/bBg5QgvYpkDpZBNG1BQQeO9q9Ml6iGyQJ/rEE7S2CQfva9euzfYOYTzc37XrNFMjrEEhI+RzcnIyonv2CLGt9D69q3S9Xs/Wvy5qj1Pd8dbW2tPD/9dJ/myS322tPTN815L8pSQvDKd8NMlPtk17T5JX+iP46KpYHhQCGDs7CNfcoblIb59Yo7eVxxHMaIFHnmu0TuZozI7QDoVJRrGMHCunW1FnRdU4y/Pz84fQLApn/s6olXtyP4IdjoiAYwNwcLLxMVaui3E5fXNG4r5hdIzLc70NFRnZMN6aYXlhq47X6XnNNHw/p6O1vw6qpt4sf/pFOsy1XAMNLeKMxkgU/UE/oTvQX65XEbEpD2c0lv025FgXyKwzVe5G6ElmVStGy8gGW6TvXlOw4+WetgfPK3rheU2mFw+zmRH0BbrqhWx005/tyGt25myATJ3jLGsDEcZgDh1gwP08b4wJuzeaN+q+qD1OdcczSf5pa20/G6f+G733j7XWPtVae2uSluT5JH9tOP7fJ/lAkheTnCb5q49xjxnhDwpByAzODoZj66OvybQAAwJi0l577bURVVowVnCnYFwXxGz6wn3gGNA9k8QiEwiIQADaq6mkazFNY9BfjDqZr9K31sZNayrdw/nm+sxJImuOtRIbkTqbQbn8/6psrjE1PeC0DxlxD+YomYyW+XMwsEPzPNWFMN+Hzw6SRqu+jqmXWmXD//l8dHQ0cspkB0bpLF4ib/PEXhCrFIGzB+Ro1Ie+mDqxc8FROkjduHFjfPEBNftkHw7ITue5huXAm3NwNOv1enwGgTk1NWeKhmBZ0aMpMubJQcKOkHlh/FSZVGqN7AqdN7Xl5y9qUEBnTe1Vqgf/wkNKdVtiO3fWwJBjDWguh93WHqe64wtJvn/L9++74Pie5Kdf77q12bmREjAppiiYdBaUjDzsaPf398cVYwTrMi8EaU5p6P+ME04mDsqI1mjGSmfkB2LAUOygkowpbjItSBnx1aelqqyqo7bj9wIXCouioXxGM07jHXzMGXrRlqyBPvteKLGRPAGI1JC+gIjs1J312Ng9V0ZdNe3FATnbQK482ss4mUf4Zs8tjbG5NI/v2FeE8Rqho4d+UAOHUwMp8wOwQP6MjTFZB2zstLrwjkPjHozHekAf0INKUfkRde5tFMw1DRBsnwYZDmA+1jpn3bOjr8DKIIpjcJq2Q/qAf0CWBhfIzeDImb11umabdv7OBNAr66bveefOnXFLZNt3bTvxxKGRC5OB07PjdSQ2avCz+slkxCAFDMer1vVpJYykLuAhdKdBTqXoE3sZYFRUfcBDO6ozLlChs4Ra4oWT732qILDzqi+gtfPGuCj1oqLEC6K+VqWC+B6kxTl2uBUVMX+WhZ0N6w9OHemja2Y5hrpbOEqcLMjSgSmZ00XVCdmJwONzD6NZ359AiXxNi0BTeGHRSHhvby+3bt0aq41aa2MtNfNjlEzwa216co59T0DkfgrTTtcljVACdiyWB9QXduY9tnGY3o3O9I+zDVfq2KZMfzjwGcRwDWzHjta6D7hibhkT41uv17MtEHguwXui8AwFgRN9wwZ772OZnJ/PQE/QH9axahbsMk+OM42C3A08naW93qb/O7MLnp1wMg0O42US+JcU3mjawsNocBouU0LhHNUwwJp6WtjJfLtMI2Z+49jKgTuds+Jyff7FoPxdRUz0jcUPI0u+x4m4RhYnhyOnT/SxZjMOetvGjhHilMyz8ecA4BV49wk5+4nBmuq7D+4rcmQMjBfnYf1ycOJa7gMyx1GbozYFtre3NwYNl1kyt+6HF6C4JjL2mkuVt8+rjh8Q4HEYnYPk0UE/red5tCyq7TmrqZmaAzvOpuoOvzNf1dbRPVMb2zI5I1f6QL8IDEaryMV2Yf3wXJiu43yXetZmB2s7px6aPjMG1s9sQ87ELMOdR9LJlBbYMWEARl2e9Jr2Mhl+sg3EYXRuROoFOq/uJ9Pi5d7e3pguUYmBgF3tAVpxNQipIwsopIGM1X1jrMiDPjBuPifTYpYzDtMKOGTklEz7GTiq26EajVqWViBTC+fn025oddGKXd+c3nvRD0OmMsHG6cyGsZn7Q97Wnd77uDsfDhp5spgEMmROQJHut6kSKhL4TP/N1xs1AhocwLYZ7zaUiNGap8YBggy9KAWV502iqpMzCPDcMnZnLp4T9NhrJIydTM8vrTWocKZrkGQbd6DG1q3T1j2uy/2Ra6U/8Q9e4MQ34EhNgyJ7L/Y6iNm5AkSgTQgyoHgzAMi3UjCeS1Njpn8uajuBpD1JKIGf/MKRWsGTaRW9clcoscvG7IiTOa9rTtUoGkH72G17Xhg100dWoI3WOAdF5bM5UzsTO3sjAJS0Ug+VJ0RhqtJhLBgRzhK5OhDikMzBOaX19binA4odT5KHSpucwSTz/a+rYyEj4RoYiOXuOSTTMEfMfGHQliVpquWJE8I4mSNnYugGv9kJ48ztmOzU0W3LC/3lmuiJnV9FfE7RnWn4mIrafA2PofbRAIjfTYOYjjA15Dn1uSBPbK/apW2D67mqyBlHXVR2Ga7nkHP8ZhbbpXUEGW/LGtxsg167cQAyELIskZf1/KK2M0iawVZFBfUxUNcleqEGhObo7ZTFlIFRO9958nBQPEZOqtTaVKYH+vMTSb1PlRgoHRULLAo5ioJq7fRA/8mE5Im25lQxLq4LesXYQJxGSRX9WRb0F74yefhxaPpJrTfHmI6ATuFdb+wwR/B1wHNayLVs2OaDmSsviBqh8xvfV5THuNg3wpSRUTCo3fPProVex0A3vRCM3jE2o2V0w2jSi5X027Jn/Elm9eLYiBdBXZOLfiAHgxHbl524qYA7d+7k6Oho1ENAB303mjQXbaBkJwiSNK2GzpiyTDKzC8YPXYm+oh/WW/TKT6gyJ4whmRCz9/Wm/+5XXcA1eHK24T45uIGy7eC9mGq9dv+2tZ1A0kZVRDT+770WMAArYFVMow++cypSOTaU1Xwo5/teXMsVDj7WkdbHm3uzwjBO+mf0zuQzZo8LI2Hy+Z6XmHJ9p+FGS0bP9NkydDVMlZFRP2PndztJjrfc+Q70iqIn0458GAHXNy1l51czGI5xRpVkLIk0xUNw8jw4O/D1nf47/QY5eaw8bmy51YyJOUGH6IPlZbkYPdthWR7WQes4+lv1mXO3UW38uWqHYGFAQfDjeAdN7k//rHfWCcvf82qaxIvInItT91wgd8vceknf8CkOqvy/ZnhkODWb85wbZdMXsm0Cm+/twGEKzXO0re0EkvZkm9Iw/+soV1PlJDMnUBGUFyWSOV9kXsuO0ajVRouysSJuQ4RzTh5d52vEhZM04rXSrlarh14SC59oZ2UnibI62jtFJEvx7nd2xEYzlX6A07PMmTuXGzKeWrboxTg3frMhMy47V5cRVkN19uJ03w4WWZMaExSRLfOE/nAM8+05ZR44zmltMn/ZrJ00qJqA5fUK5H18fDxWHNgxImPzqfSjptp2gk7nHaid4tPg9gkoNUNkLMwxMkKWXN+O9fz8fFzM49p1IRf5m6dlzr1GQR+cWVTK0bQLFU0ex9HR0RiUbU+c710HkSfyrVk12YGpV9Y2PB4H2W3b8l7UdgJJI3AvOnhbRy9gYFxMAI6O67iqI5nzxKACzqvRqyJWJqs+WYSDIc2s6AxHZ662LiqZ47Xi1eBRURfjNHq5f//+uAl8jfBkI0bAnIvscOg2MmROiaAVmGuQ6qLo9N+OGwfk1Jr+cz3uadnTTJHUoGl5uG/MDzQF88Y4XUlDM0+NDP0qKb9owmNC1qbNqnyYQzto6wljtC04jbZzod8gPcbDIiJzTR89p9Z9gwfu7wCK8zBFU8EE9sTYAVX0k8fJCSbIwgEamaKvftsKqJRjHMBdpWRHWq8NLcd8sZ0ofbUfqEEI+/C4PI8VfLW2eaiMHRBtWw7oDigGVxe1nUHSfhLHaQicG8iJKI9jSOY1t0RNBOx3JTqNPD4+Ho/B2dq5gya9WrwthQL5MA7XmdrhUe8LNeHU0w8QGB3zf94wg6OhTxxvGiOZ+EsUh/s7DXYlRDKvdHEKiewsa/p+/fr1USFdv0s1gh018rh79+74xJoXg+04nP04oJJd2UCYK++BwFwzv85OQFimWFyyiAwtG8uW8bryww7WqMvOlnGZp6W/OFBTTx6bg5ADMGN1ADMtgU7u70/7nTvAOShSUkhgdiB1ZkK1jIMtzrDWRAMc6LN3O/Q4/bANDovsxWAMB09wc2bLU7yuVmEevfZU+0ofkFct3aM+3fqADt2+fXsmC9sYPssBzn7Dcodvv6i1R/34pFpr7XaSL192P55A+84kX7/sTjyBtozzarVlnH/07Y/13t+67YedQNJJvtx7f9dld+KPurXWPreM8+q0ZZxXq+3qOHeCk17a0pa2tKVtb4uTXtrSlra0HW674qR/+bI78ITaMs6r1ZZxXq22k+PciYXDpS1taUtb2va2K0h6aUtb2tKWtqVdupNurb2/tfbl1tqLrbWfvez+fDOttfaPW2svtdZe0Hdvaa19orX2e8O/bx6+b621nx/G/YXW2g9cXs/fWGutva219unW2n9vrX2xtfYzw/dXaqyttcPW2mdba58fxvlzw/d/vLX2mWE8/6K1dn34/mD4/OLw+9svdQBvoLXW9ltrv91a+9jw+cqNMUlaa19prf1Oa+351trnhu92Wm8v1Um3zSu5fiHJjyV5Z5KfaK298zL79E22X03y/vLdzyb5ZO/9HUk+OXxONmN+x/D3oSS/+IT6+K1o95P8jd77O5O8J8lPD/N21cZ6N8n7eu9/OslzSd7fNu/t/PtJPtJ7/xNJXk7yweH4DyZ5efj+I8Nx3y7tZ5J8SZ+v4hhpP9p7f07ldruttzwtcxl/SX4oyW/q84eTfPgy+/QtGNPbk7ygz19O8szw/2eyqQlPkl9K8hPbjvt2+0vy77J5QfGVHWuSoyT/LckPZvPAw2r4ftThJL+Z5IeG/6+G49pl9/0xxvZsNs7pfUk+ls17S6/UGDXWryT5zvLdTuvtZdMd35PkD/T5D4fvrlL77j69Lf1/Jfnu4f9XYuxDuvv9ST6TKzjWgQZ4PslLST6R5PeTfKP3zoYLHss4zuH3V5J8xxPt8P9b+4dJ/lYSNr74jly9MdJ6kv/YWvut1tqHhu92Wm935YnD/y9a77231q5MOU1r7UaSf53kr/feb7G3QXJ1xtp7f5Dkudba00n+bZLvu9wefWtba+3PJ3mp9/5brbUfueTuPIn2w733r7bWvivJJ1prv+sfd1FvLxtJfzXJ2/T52eG7q9T+d2vtmSQZ/n1p+P7beuyttWvZOOhf673/m+HrKznWJOm9fyPJp7NJ/Z9urQFwPJZxnMPvb0ryf55sT99we2+Sv9Ba+0qSf54N5fGPcrXGOLbe+1eHf1/KJui+Ozuut5ftpP9rkncMK8nXk/zlJB+95D59q9tHk/zU8P+fyoa/5fufHFaQ35PkFaVcO93aBjL/SpIv9d7/gX66UmNtrb11QNBpra2z4d2/lI2z/vHhsDpOxv/jST7VBzJzV1vv/cO992d772/Pxv4+1Xv/K7lCY6S11o5bazf5f5I/l+SF7Lre7gCR/4Ek/yMbru/vXHZ/vsmx/HqSryW5lw1/9cFs+LpPJvm9JP8pyVuGY1s2lS2/n+R3krzrsvv/Bsb5w9lwe19I8vzw94GrNtYkfyrJbw/jfCHJ3x2+/94kn03yYpJ/meRg+P5w+Pzi8Pv3XvYY3uB4fyTJx67qGIcxfX74+yL+Ztf1dnnicGlLW9rSdrhdNt2xtKUtbWlLe0RbnPTSlra0pe1wW5z00pa2tKXtcFuc9NKWtrSl7XBbnPTSlra0pe1wW5z00pa2tKXtcFuc9NKWtrSl7XBbnPTSlra0pe1w+79TR2gq8ywtnAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[287 197   6]\n",
      "  [251 197   7]\n",
      "  [200 199   6]\n",
      "  [230 218   6]\n",
      "  [268 226   4]\n",
      "  [337 202   4]\n",
      "  [308 226   5]\n",
      "  [271 169   4]]]\n"
     ]
    }
   ],
   "source": [
    "a_rgb = cv2.imread(\"example.png\")  \n",
    "a_gray = cv2.imread(\"example.png\",0)  \n",
    "median = cv2.medianBlur(a_gray,5)\n",
    "\n",
    "valley, peak = (np.min(median), np.max(median))\n",
    "\n",
    "radius = 7\n",
    "\n",
    "#print(cimg)\n",
    "#print(a_rgb.shape)\n",
    "#print(a_gray.shape)\n",
    "#circles = cv2.HoughCircles(a_gray, cv2.HOUGH_GRADIENT, dp = 2.0, minDist = 10, param1 = 50, param2=30, minRadius=3, maxRadius = 10)\n",
    "#circles = cv2.HoughCircles(a_gray, cv2.HOUGH_GRADIENT, dp = 1.5, minDist = 15, param1 = 50, param2=10, minRadius=3, maxRadius = 10)\n",
    "print(radius*2//3)\n",
    "print((peak-valley)/2.5)\n",
    "circles = cv2.HoughCircles(median, cv2.HOUGH_GRADIENT, dp = 1.5, minDist = 15, param1 = 80, param2=radius*2, minRadius = radius//2, maxRadius = radius+5)\n",
    "\n",
    "#print(median)\n",
    "\n",
    "#print(circles)\n",
    "print(type(circles))\n",
    "if type(circles) != type(None):\n",
    "    #for circle in circles[0]:\n",
    "    #    print(circle)\n",
    "    print(len(circles[0]))\n",
    "    circles = np.uint16(np.around(circles))\n",
    "for circle in circles[0]:\n",
    "    print(circle)\n",
    "    #cv2.circle(a, (circle[0], circle[1]), circle[2], (0,0,255), 2)\n",
    "    rr,cc =draw.circle_perimeter(circle[1],circle[0],circle[2])\n",
    "    draw.set_color(a_rgb, (rr,cc), (255,0,0))\n",
    "\n",
    "plt.imshow(a_rgb)\n",
    "plt.show()\n",
    "    \n",
    "print(circles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "b0e7b118",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on built-in function HoughCircles:\n",
      "\n",
      "HoughCircles(...)\n",
      "    HoughCircles(image, method, dp, minDist[, circles[, param1[, param2[, minRadius[, maxRadius]]]]]) -> circles\n",
      "    .   @brief Finds circles in a grayscale image using the Hough transform.\n",
      "    .   \n",
      "    .   The function finds circles in a grayscale image using a modification of the Hough transform.\n",
      "    .   \n",
      "    .   Example: :\n",
      "    .   @include snippets/imgproc_HoughLinesCircles.cpp\n",
      "    .   \n",
      "    .   @note Usually the function detects the centers of circles well. However, it may fail to find correct\n",
      "    .   radii. You can assist to the function by specifying the radius range ( minRadius and maxRadius ) if\n",
      "    .   you know it. Or, in the case of #HOUGH_GRADIENT method you may set maxRadius to a negative number\n",
      "    .   to return centers only without radius search, and find the correct radius using an additional procedure.\n",
      "    .   \n",
      "    .   It also helps to smooth image a bit unless it's already soft. For example,\n",
      "    .   GaussianBlur() with 7x7 kernel and 1.5x1.5 sigma or similar blurring may help.\n",
      "    .   \n",
      "    .   @param image 8-bit, single-channel, grayscale input image.\n",
      "    .   @param circles Output vector of found circles. Each vector is encoded as  3 or 4 element\n",
      "    .   floating-point vector \\f$(x, y, radius)\\f$ or \\f$(x, y, radius, votes)\\f$ .\n",
      "    .   @param method Detection method, see #HoughModes. The available methods are #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT.\n",
      "    .   @param dp Inverse ratio of the accumulator resolution to the image resolution. For example, if\n",
      "    .   dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has\n",
      "    .   half as big width and height. For #HOUGH_GRADIENT_ALT the recommended value is dp=1.5,\n",
      "    .   unless some small very circles need to be detected.\n",
      "    .   @param minDist Minimum distance between the centers of the detected circles. If the parameter is\n",
      "    .   too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is\n",
      "    .   too large, some circles may be missed.\n",
      "    .   @param param1 First method-specific parameter. In case of #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT,\n",
      "    .   it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller).\n",
      "    .   Note that #HOUGH_GRADIENT_ALT uses #Scharr algorithm to compute image derivatives, so the threshold value\n",
      "    .   shough normally be higher, such as 300 or normally exposed and contrasty images.\n",
      "    .   @param param2 Second method-specific parameter. In case of #HOUGH_GRADIENT, it is the\n",
      "    .   accumulator threshold for the circle centers at the detection stage. The smaller it is, the more\n",
      "    .   false circles may be detected. Circles, corresponding to the larger accumulator values, will be\n",
      "    .   returned first. In the case of #HOUGH_GRADIENT_ALT algorithm, this is the circle \"perfectness\" measure.\n",
      "    .   The closer it to 1, the better shaped circles algorithm selects. In most cases 0.9 should be fine.\n",
      "    .   If you want get better detection of small circles, you may decrease it to 0.85, 0.8 or even less.\n",
      "    .   But then also try to limit the search range [minRadius, maxRadius] to avoid many false circles.\n",
      "    .   @param minRadius Minimum circle radius.\n",
      "    .   @param maxRadius Maximum circle radius. If <= 0, uses the maximum image dimension. If < 0, #HOUGH_GRADIENT returns\n",
      "    .   centers without finding the radius. #HOUGH_GRADIENT_ALT always computes circle radiuses.\n",
      "    .   \n",
      "    .   @sa fitEllipse, minEnclosingCircle\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(cv2.HoughCircles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3af8178d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(512, 512)\n"
     ]
    }
   ],
   "source": [
    "centres = [ (100,100), (100,240), (100,360), (400,100), (400, 300)]\n",
    "a = np.random.randint(200,500, size=(512,512))\n",
    "print(a.shape)\n",
    "\n",
    "def generate(a, centres, radius):\n",
    "    for pos in centres:\n",
    "        x,y = pos\n",
    "    for i in range(x-radius,x+radius):\n",
    "        for j in range(y-radius,y+radius):\n",
    "            if (i-x)**2 + (j-y)**2 <= radius**2:\n",
    "                if np.random.randint(500) < 475:\n",
    "                    a[i,j] = 1000 + (radius**2 - (i-x)**2 + (j-y)**2) // 3\n",
    "    for i in range(512):\n",
    "        for j in range(512):\n",
    "            if np.random.randint(500) > 480:\n",
    "                a[i,j] = 1000 + np.random.randint(500)\n",
    "    return a\n",
    "    \n",
    "a = generate(a, centres, 40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0b277bf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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